JP2010146430A - Information processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To improve convenience to a user by generating an appropriate classification hierarchical structure according to a use state of data by the user. <P>SOLUTION: An information processor includes: a text acquisition means for acquiring predetermined text data; and a hierarchical structure generating means for extracting keywords included in the text data acquired by the text acquisition means and generating hierarchical structure data comprising virtual directories which are hierarchized on the basis of the keywords to store the same. The hierarchical structure generating means generates a connection keyword by connecting the keywords to one another, generates the virtual directory corresponding to each of the keywords and the connection keyword, and associates the virtual directory corresponding to the connection keyword with a low-order hierarchy of another virtual directory corresponding to a keyword included in this connection keyword or another connection keyword to generate the hierarchical structure data. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an information processing apparatus, and more particularly to an information processing apparatus that generates a hierarchical structure.

  In recent years, with the development of computer technology, it has become common to manage all information by electronic data. For this reason, a technique for efficiently managing electronic data is required. Patent Documents 1 and 2 disclose a technique for classifying and managing electronic data.

  In the document classification apparatus disclosed in Patent Document 1, as shown in FIG. 1 of the document, an attribute for extracting attribute information such as an author, a title, and a keyword from a document database in which the document is stored and a document in the document database. An extraction unit; and a document classification unit that classifies the document based on the extracted attribute information. In addition, a folder for expressing and storing the classified documents as a topic structure having a tree structure is provided. In this system, when a document is classified, a topic structure list obtained by connecting upper nodes from the topic structure is obtained, and the amount of matching between each element of the topic structure list and attribute information attached to the document is obtained. Calculate and classify documents based on this match. Note that the topic structure is a structure as shown in FIG.

  Further, in the document data classification device disclosed in Patent Document 2, as shown in FIG. 1 of the document, classification determination is configured by a tree structure of nodes and a classification class is assigned to leaf nodes. Prepare a tree and follow it to identify the classification class to which the document data belongs. Patent Document 2 discloses a document classification function construction device for constructing the document data classification device. In this document classification function construction device, a classification decision tree is created in advance by referring to sample data consisting of set data of a set of document data and a classification class to which the document data belongs.

Japanese Patent No. 3441500 JP-A-5-324726

  However, all of the techniques disclosed in the above-mentioned patent documents need to prepare data necessary for classification in advance. For example, in Patent Document 1, it is necessary to appropriately create a structure for classifying document data, that is, a hierarchical list of keywords in advance without any contradiction. In Patent Document 2, it is necessary to associate document data with a classification class to which the document data belongs in sample data. Accordingly, since sample data is created after the classification class is grasped in advance, the classification structure created by this is limited.

  As described above, in the technology disclosed in the patent document, appropriate classification hierarchical structure data cannot be generated when appropriate information necessary for performing classification is not prepared in advance. In addition, when adding / changing a classification, it is necessary to change data to redefine the classification structure, which may be troublesome. Therefore, there arises a problem that it is not convenient for the user.

  For this reason, an object of the present invention is to generate an appropriate classification hierarchical structure according to the use status of data by the user, which is the above-described problem, and to improve the convenience of the user.

In order to achieve such an object, an information processing apparatus according to an aspect of the present invention provides:
Text acquisition means for acquiring predetermined text data;
Hierarchical structure in which keywords included in the text data acquired by the text acquisition means are extracted, hierarchical structure data consisting of virtual directories hierarchized based on the extracted keywords is generated, and stored in the storage means Generating means,
The hierarchical structure generating means generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword with the combined keyword. Generating the hierarchical structure data in association with a lower hierarchy of the other virtual directory corresponding to a keyword included in a keyword or another combined keyword;
The structure is adopted.

Moreover, the program which is the other form of this invention is:
In the information processing device,
Text acquisition means for acquiring predetermined text data;
Hierarchical structure in which keywords included in the text data acquired by the text acquisition means are extracted, hierarchical structure data consisting of virtual directories hierarchized based on the extracted keywords is generated, and stored in the storage means Generating means;
Realized,
The hierarchical structure generating means generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword with the combined keyword. A function of generating the hierarchical structure data in association with a lower hierarchy of the other virtual directory corresponding to a keyword included in a keyword or another combined keyword;
The structure is adopted.

In addition, the hierarchical structure data according to another aspect of the present invention is
A virtual directory generated corresponding to each of the keyword included in the acquired predetermined text data and the combined keyword obtained by combining the keyword is layered and configured.
The virtual directory corresponding to the combined keyword is associated with a keyword included in the combined keyword or a lower hierarchy of another virtual directory corresponding to another combined keyword.

In addition, an information processing method according to another aspect of the present invention includes:
A text acquisition process for acquiring predetermined text data;
Hierarchical structure that extracts keywords included in the text data acquired in the text acquisition step, generates hierarchical structure data composed of virtual directories hierarchized based on the extracted keywords, and stores the hierarchical structure data in a storage unit A production process,
The hierarchical structure generation step generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword with the combined keyword. Generating the hierarchical structure data in association with a lower hierarchy of the other virtual directory corresponding to a keyword included in a keyword or another combined keyword;
The structure is adopted.

  By configuring the present invention as described above, the user can easily perform data classification and data search using the generated hierarchical structure, and the data classification and data search can be performed appropriately and efficiently. Data retrieval can be performed. As a result, it is possible to improve user convenience.

<Embodiment 1>
A first embodiment of the present invention will be described with reference to FIG. FIG. 1 is a functional block diagram illustrating a configuration of an information processing apparatus which is an embodiment of the present invention. In the present embodiment, an outline of an information processing apparatus according to the present invention will be described.

  As shown in FIG. 1, an information processing apparatus 1 according to one embodiment of the present invention includes a text acquisition unit 2 that acquires predetermined text data, and keywords included in the text data acquired by the text acquisition unit 2. A hierarchical structure generation unit 3 that extracts and generates hierarchical structure data including virtual directories that are hierarchized based on the extracted keywords, and stores the hierarchical structure data in the storage unit 4.

  The hierarchical structure generating unit 3 generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and generates the virtual directory corresponding to the combined keyword. The hierarchical structure data is generated in association with a keyword included in the combined keyword or another hierarchical level of the virtual directory corresponding to another combined keyword.

  According to the information processing apparatus configured as described above, first, the information processing apparatus acquires text data and extracts keywords included in the text data. Subsequently, the information processing apparatus generates a virtual directory based on the extracted keyword. Specifically, a virtual directory corresponding to a single keyword and a directory corresponding to a combined keyword obtained by combining the single keywords are generated. Then, the information processing apparatus generates hierarchical structure data in which the generated virtual directory is hierarchized. Specifically, a directory corresponding to a combined keyword including the single keyword is arranged in a lower hierarchy of the directory corresponding to the single keyword, and further, the lower hierarchy of the directory corresponding to the combined keyword is A directory corresponding to another combined keyword including the combined keyword is arranged, the directories are associated with each other, and hierarchical structure data is generated.

  Thereby, for example, a hierarchical structure can be automatically generated from text data used by the user based on the keywords included in the text data. In particular, an appropriately hierarchized hierarchical structure can be generated based on the inclusion relationship of keywords included in a single keyword and a combined keyword. Therefore, the user can easily perform data classification and data search using the generated hierarchical structure, and can execute data classification and data search appropriately and efficiently. As a result, it is possible to improve user convenience.

  In the information processing apparatus 1, the hierarchical structure generation unit 3 arranges the virtual directories corresponding to the single keywords at the highest hierarchy, and assigns the single keyword to other single keywords at the lower hierarchy. The virtual directory corresponding to the combined keyword obtained by combining one of the keywords is associated, and the virtual directory corresponding to the other combined keyword obtained by combining another single keyword with the combined keyword is associated with the lower hierarchy. A configuration in which the hierarchical structure data is generated in association with each other is adopted.

  In the information processing apparatus 1, the hierarchical structure generation unit 3 combines the keywords to generate the combined keyword according to the appearance order of the keywords in the text data acquired by the text acquisition unit 2. The structure is taken.

  In the information processing apparatus 1, the hierarchical structure generation unit 3 generates the combined keyword by combining the keywords according to the degree of adjacency between the keywords in the text data acquired by the text acquisition unit. The configuration of “Yes” is adopted.

  In the information processing apparatus 1, the hierarchical structure generation unit 3 is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to a predetermined single keyword or a predetermined combined keyword. The virtual directory corresponding to the combined keyword including the predetermined single keyword or the predetermined combined keyword is associated with the virtual directory.

  As a result, when a virtual directory corresponding to a single keyword or another combined keyword included in the predetermined combined keyword already exists, the predetermined combined keyword is added to the lower hierarchy of the existing virtual directory. Associate the corresponding virtual directory. Therefore, it can suppress that a virtual directory is produced | generated duplicately.

  In the information processing apparatus 1, the hierarchical structure generating unit 3 stores the virtual directory in association with the keyword included in the single keyword or the combined keyword corresponding to the virtual directory. Take.

  In the information processing apparatus 1, the hierarchical structure generating unit 3 stores a data file in which the text data obtained by extracting the single keyword or the combined keyword corresponding to the virtual directory is associated with the virtual directory. A configuration of storing in association is adopted.

  Thereby, by using the keyword associated with the virtual directory, the text data corresponding to the virtual directory, that is, the data file including the text data can be easily specified. Therefore, the data file can be easily classified according to the hierarchical structure based on the keyword included in the text data of the data file.

  In the information processing apparatus 1, although not shown, a data access monitoring unit that monitors access to predetermined data, and a text included in the predetermined data that is detected to be accessed by the data access monitoring unit When a keyword included in the data is extracted as an access target keyword, and the access target keyword is the same as the keyword or the combined keyword corresponding to the virtual directory included in the hierarchical structure data, the virtual directory Data associating means for associating the data file representing the predetermined data in which the access target keyword is detected.

  In addition, although not shown, the information processing apparatus 1 includes a data access monitoring unit that monitors access to predetermined data, and a text included in the predetermined data that is detected by the data access monitoring unit. A keyword included in the data is extracted as an access target keyword, and a keyword candidate data that is not identical to the keyword corresponding to the virtual directory or the combined keyword included in the hierarchical structure data is extracted as keyword candidate data. Keyword candidate extraction means. Then, the keyword candidate extraction unit counts the number of extractions of the keyword candidate data, sets the keyword candidate data as the keyword based on the number of extractions, and the hierarchical structure generation unit 3 sets the keyword candidate extraction unit The virtual directory is generated based on the keyword set by the means and added to the existing hierarchical structure data.

  As a result, by extracting the keywords included in the accessed data, the data can be easily classified according to the hierarchical structure as described above. In addition, the keyword included in the accessed data is used as a keyword candidate, and the number of times of extraction is counted. When the number of times increases, a virtual directory corresponding to the keyword candidate is generated, and the hierarchical structure data is generated as described above. to add. Therefore, it is possible to generate appropriate hierarchical structure data according to the usage status of the user.

  Further, although not shown, the information processing apparatus 1 includes display control means for displaying the hierarchical structure data on a display means. And the display control means receives the selection of the virtual directory constituting the hierarchical structure data, and controls to display the data file associated with the selected virtual directory on the display means. Take composition

  Further, although not shown, the information processing apparatus 1 includes display control means for displaying the hierarchical structure data on a display means. The display control means receives selection of the virtual directory that constitutes the hierarchical structure data, and associates it with another virtual directory associated with an upper hierarchy and / or a lower hierarchy of the selected virtual directory. The data file is controlled to be displayed on the display means.

  Furthermore, in the information processing apparatus, the display control unit is configured to select the virtual directory associated with an upper hierarchy and / or a lower hierarchy of the selected virtual directory based on the hierarchical structure data. The display is used.

  Thus, when a predetermined virtual directory is selected by the user, a data file associated with the virtual directory or a data file associated with another virtual directory lower than the virtual directory is displayed. . Therefore, the user can easily search the data file.

  The information processing apparatus having the above configuration can be realized by incorporating a hierarchical structure generation program into the information processing apparatus. Specifically, the hierarchical structure generation program according to another aspect of the present invention is included in the information processing apparatus in a text acquisition unit that acquires predetermined text data and the text data acquired by the text acquisition unit. And a hierarchical structure generation unit that generates hierarchical structure data including virtual directories that are hierarchized based on the extracted keyword and stores the hierarchical structure data in a storage unit. The hierarchical structure generating means generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and determines the virtual directory corresponding to the combined keyword, It has a function of generating the hierarchical structure data in association with a lower hierarchy of another virtual directory corresponding to a keyword included in the combined keyword or another combined keyword.

  Further, in the program, the hierarchical structure generation means arranges the virtual directories corresponding to the single keywords at the highest hierarchy, and the single keyword at the lower hierarchy is another single keyword. The virtual directory corresponding to the combined keyword obtained by combining the combined keywords and the virtual directory corresponding to the combined keyword obtained by combining the single combined keyword with the combined keyword is associated with the hierarchical structure, and the hierarchical structure A configuration of generating data is adopted.

  The hierarchical structure data configured by the information processing apparatus is configured by hierarchizing virtual directories generated corresponding to keywords included in the acquired predetermined text data and combined keywords obtained by combining the keywords. The virtual directory corresponding to the combined keyword is associated with a lower hierarchy of the other virtual directories corresponding to the keyword included in the combined keyword or another combined keyword.

  In addition, the hierarchical structure data includes the virtual directory corresponding to each of the single keywords arranged in the highest hierarchy, and the combination of the single keyword combined with the single keyword in the lower hierarchy. The virtual directory corresponding to the keyword is associated, and the virtual directory corresponding to the other combined keyword obtained by combining a single keyword with the combined keyword is associated with the lower hierarchy.

  Further, the hierarchical structure data is the virtual directory that is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to the predetermined single keyword or the predetermined combined keyword. The virtual directory corresponding to the combined keyword including the predetermined single keyword or the predetermined combined keyword is associated with the virtual directory.

  In addition, the moving image processing method executed by operating the information processing apparatus described above extracts a text acquisition step for acquiring predetermined text data and a keyword included in the text data acquired in the text acquisition step. And a hierarchical structure generation step of generating hierarchical structure data composed of virtual directories hierarchized based on the extracted keywords and storing the data in a storage means.

  The hierarchical structure generation step generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and determines the virtual directory corresponding to the combined keyword, A configuration is adopted in which the hierarchical structure data is generated in association with a keyword included in the combined keyword or another hierarchical level of the virtual directory corresponding to another combined keyword.

  In the information processing method, in the hierarchical structure generation step, the virtual directories respectively corresponding to the single keywords are arranged in the highest hierarchy, and another single keyword is assigned to the single keyword in the lower hierarchy. Associating the virtual directory corresponding to the combined keyword obtained by combining the keywords and associating the virtual directory corresponding to the other combined keyword obtained by combining another single keyword with the combined keyword in the lower hierarchy. The above-described hierarchical structure data is generated.

  In the information processing method, the hierarchical structure generation step is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to the predetermined single keyword or the predetermined combined keyword. The virtual directory corresponds to the virtual directory corresponding to the combined keyword including the predetermined single keyword or the predetermined combined keyword.

  Further, in the information processing method, after the hierarchical structure generation step, the data access monitoring step for monitoring access to predetermined data, and the predetermined data detected to be accessed in the data access monitoring step When a keyword included in the included text data is extracted as an access target keyword, and the access target keyword is the same as the keyword or the combined keyword corresponding to the virtual directory included in the hierarchical structure data, the virtual directory And a data association step of associating a data file representing the predetermined data in which the access target keyword is detected.

  In the information processing method, after the hierarchical structure generation step, the data access monitoring step for monitoring access to predetermined data, and the predetermined data detected to be accessed in the data access monitoring step The keyword included in the included text data is extracted as an access target keyword, and the keyword candidate data includes the access target keyword that is not identical to the keyword or the combined keyword corresponding to the virtual directory included in the hierarchical structure data. And a keyword candidate extracting step for extracting as The keyword candidate extraction step counts the number of extractions of the keyword candidate data, sets the keyword candidate data as the keyword based on the number of extractions, and then executes the hierarchical structure generation step again. The virtual directory is generated based on the keyword set by the keyword candidate extraction means, and added to the existing classification hierarchical structure data.

  Even the invention of the program, the hierarchical structure data, or the information processing method having the above-described configuration can achieve the above-described object of the present invention because it has the same operation as the information processing apparatus. .

<Embodiment 2>
A second embodiment of the present invention will be described with reference to FIGS. FIG. 2 is a functional block diagram illustrating a configuration of the information processing apparatus. 3 to 5 are diagrams illustrating examples of data stored in the information processing apparatus. 6 to 12 are flowcharts showing the operation of the information processing apparatus. FIG. 13 to FIG. 19 are explanatory diagrams showing a state of processing for generating classification hierarchical structure data by the information processing apparatus. FIG. 20 is a diagram illustrating a state when the classification hierarchical structure data is displayed.

  Here, the present embodiment shows a specific example of the information processing apparatus disclosed in the first embodiment. In this embodiment, the case where the classification hierarchical structure is generated by one information processing apparatus will be described. However, the information processing apparatus described below may be configured by a plurality of information processing apparatuses. .

[Constitution]
Although not shown, the information processing apparatus 10 shown in FIG. 1 generally includes an arithmetic device such as a CPU (Central Processing Unit) that performs arithmetic processing, and a storage device such as an HDD (Hard disk drive) that stores information. Computer. The information processing apparatus 10 also includes an input device, a display device, and the like (not shown).

  The information processing apparatus 10 includes a user input monitoring unit 11, a classification structure generation unit 13, an access information monitoring unit 16, and an information association unit 17 that are constructed by incorporating a hierarchical structure generation program into an arithmetic device. And a keyword extraction unit 18 and a hierarchical structure display unit 20. The storage device also includes a monitoring location information DB (database) 12, an excluded word DB (database) 14, an association information storage DB (database) 15, and a keyword candidate DB (database) 19. Hereinafter, each configuration will be described in detail.

  The user input monitoring unit 11 (text acquisition unit) monitors text input by the user to a place set in the monitoring place information DB 12 in advance. Then, when the user inputs text to the monitoring place, the user input monitoring unit 11 collects the text, and transmits the collected text data to the classification hierarchical structure generation unit 13.

  The monitoring location information DB 12 stores a user input monitoring location setting table shown in FIG. In this user input monitoring location setting table, information for specifying a location monitored by the user input monitoring unit 11 is stored. For example, the user input monitoring location setting table shown in FIG. 3A shows a “monitoring application” indicating the location of the application to be monitored and a text input area to be monitored in the application specified by this “monitoring application”. “Monitoring text input area”. The user input monitoring location setting table can be changed by the user.

  The classification hierarchical structure generation unit 13 (hierarchical structure generation unit) includes virtual directories that are hierarchized based on text information received from the user input monitoring unit 11 and keyword information received from the keyword extraction unit 18 described later. Classification hierarchical structure data is generated and stored in the related information storage DB 15. Note that specific functions of the classification hierarchical structure unit 13 will be described when the operation is described later.

  Here, the information stored in the association storage DB 15 will be described. The related information storage DB 15 has an information management table shown in FIG. 3B and a related management table shown in FIG. The information management table shown in FIG. 3B includes “ID” that is a unique ID for one piece of information that is automatically assigned by the association storage DB 15 to uniquely identify the information, and the keyword name of the keyword. And “information name” for storing the information title such as the file name of the file, “information type” for storing the information type such as “file”, “Web page”, and “keyword”, and the information “Existing location” indicating the existing location. 3C includes a “relation source ID” and a “relation destination ID” that store an ID between two pieces of related information, and a “relation” that indicates the type of relationship between the information. It consists of

  The access information monitoring unit 16 (data access monitoring unit) monitors information accessed by the user, and sends access related information related to the access information to the information association unit 17. Here, FIG. 4A shows access related information sent from the access information monitoring unit 16 to the information association unit 17. As shown in this figure, the access related information includes the “text of the important location of the access information” indicating the text of the important location such as the title of the accessed information and the file name, and the access information of the file, the website, etc. “Access information type” indicating the type, and “Access information location” indicating the location where the access information such as the file path and URL exists.

  The information association unit 17 (data association unit) receives the access related information described above from the access information monitoring unit 16 and associates the access information with the classification hierarchical structure already stored in the related information storage DB 15. In addition, the information included in the access information and the information indicating the location of the classification hierarchical structure with which the access information is associated are sent to the keyword extraction unit 18. FIG. 4B shows information transmitted from the information association unit 18 to the keyword extraction unit 18. This information includes the “text of the important location of the access information” that is the same as the “text of the important location of the access information” in the access information sent from the access information monitoring unit 16 to the information association unit 17, and the It consists of “ID of the associated virtual directory” indicating the ID of the virtual directory in the classification hierarchy structure in which the access information is associated by the information association unit 17. In addition, the function regarding the specific information correlation which the information correlation part 17 has is demonstrated at the time of operation | movement description mentioned later.

  The keyword extracting unit 18 (keyword candidate extracting means) receives the information transmitted from the information associating unit 17 and generates a keyword candidate (access target keyword) from “text of an important place of access information”. Then, in the keyword candidate table of the keyword candidate DB 19, the generated keyword candidates and the “ID of the associated virtual directory” of the “text of the important location of the access information” from which the keyword candidates are generated, save. At this time, if the same information has already been saved when saved in the keyword candidate DB 19, the count number of the information is increased. When the count reaches the threshold value, the keyword candidate is transmitted to the above-described classification hierarchical structure generation unit 13 to generate a virtual directory based on the keyword candidate.

  Here, FIG. 5C shows the configuration of the keyword candidate table stored in the keyword candidate DB 19. The keyword candidate table stores “word candidates” for storing words extracted from access information, “virtual directory IDs” for storing the same information as “associated virtual directory IDs” of access information, and count numbers. "Count number" shown. FIG. 5D shows the keyword information sent from the keyword extraction unit 18 to the classification hierarchical structure generation unit 13. The transmitted keyword information includes a “keyword” indicating a keyword candidate that has reached the threshold and a “virtual directory ID” indicating the ID of the virtual directory of the keyword candidate.

  Next, the data structure of the classification hierarchical structure data stored in the related information storage DB 15 will be described. FIG. 5 shows an example of the structure of the classification hierarchical structure data. As shown in this figure, the classification hierarchical structure data is composed of “virtual directory”, “keyword”, “access information”, and a line connecting them.

  Information about the virtual directory, keywords, and access information is stored in the information management table shown in FIG. 3B stored in the related information storage DB 15. Specifically, in the case of “virtual directory”, “virtual directory name” is stored in “information name” and “virtual directory” is stored in “information type” of the information management table. Information is not stored in the “existing place”. In the case of “keyword”, “keyword name” is stored in “information name” of the information management table, “keyword” is stored in “type of information”, and information is not stored in the existing location. In the case of “access information”, “information information title” is “access information title and file name”, “information type” is “information type” such as “file” or “website”, The “existing location” stores a “physical folder path” and “URL” where the access information exists. Furthermore, a unique ID number is assigned by the related information storage DB 15 in all of “virtual directory”, “keyword”, and “access information”. In the information management table, “ID” “0”, “information name” “root”, and “information type” “virtual directory” are stored from the beginning. The root directory of the directory.

  Also, the line connecting “virtual directory”, “keyword”, and “access information” represents the state of association between these, and information related to this is stored in the association management table. Specifically, the relationship management table has the configuration shown in FIG. 3C described above, and stores IDs between related information in “related source ID” and “related destination ID”, and sets “relation”. Stores the relationship, that is, the association state. The direction of association, that is, the parent-child (master-detail) relationship of the association is expressed by information stored in “Relation”. For example, if there is an upper (parent) lower (child) relationship between the virtual directories, the parent ID of the parent virtual directory is set as the related source ID, the child virtual directory ID is set as the related destination ID, and “parent-child directory” is set as the relationship. Save. Thus, the relationship “parent-child directory” indicates a direction in which the relation source is a parent and the relation destination is a child. Further, if it is between the virtual directory and the keyword, the ID of the virtual directory is stored in the “relation source ID”, the keyword ID is stored in the “relation destination ID”, and the “keyword” is stored in the “relation”. Furthermore, if it is between the virtual directory and the access information, the ID of the virtual directory is stored in the “relation source ID”, the ID of the access information in the “relation destination ID”, and “affiliation” in the “relation”.

  The excluded word DB 14 stores a list of words to be excluded when the above-described classification hierarchical structure generation unit 13 and keyword extraction unit 18 generate a hierarchical structure or extract keywords.

  The hierarchical structure display unit 20 (display control means) generates and displays a classification hierarchical structure screen based on information in the related information storage DB 15. In addition, the function regarding the display control of the specific classification | category hierarchical structure data of the hierarchical structure display part 20 is demonstrated at the time of operation | movement description mentioned later.

[Operation]
Next, the operation of the information processing apparatus 10 configured as described above will be described with reference to FIGS. First, the operation of the user input monitoring unit 11 will be described with reference to the flowchart of FIG.

  First, the user input monitoring unit 11 reads monitoring location information from the monitoring location information DB 12 at the time of activation (step A1). Then, it is monitored whether text is input at the monitoring location (step A2). Thereafter, when text input to the monitoring place is detected (step A3), the text data is collected (text acquisition step) and divided into sentence units (step A4). And the text data divided | segmented into the sentence unit is transmitted to the classification | category hierarchy structure production | generation part 13 (step A5).

  Next, the operation of the classification hierarchical structure generation unit 13 will be described with reference to the flowchart of FIG. Upon receiving the text data transmitted from the user input monitoring unit 11 (step B1), the classification hierarchical structure generation unit 13 performs morphological analysis on the received text data and decomposes it into words (step B2). Subsequently, words other than verbs, nouns, and adjectives and non-independent words such as verbs, nouns, and adjectives are excluded from the decomposed words (step B3). Subsequently, the words stored in the excluded word DB 14 are excluded (step B4). Based on the remaining words (keywords), classification hierarchical structure data is generated (step B5, classification hierarchical structure generation step), and the classification hierarchical structure data is stored in the related information storage DB 15 (step B6).

  Here, a method of generating classification hierarchical structure data by the above-described classification hierarchical structure generation unit 13 will be described with reference to a flowchart of FIG. 8 and explanatory diagrams of FIGS. Here, it is assumed that the number of words (keywords) extracted by the above-described processing is a.

  First, the classification hierarchical structure generation unit 13 generates, for all words (keywords), a virtual directory whose name is the word (see FIG. 13A). At this time, the word is stored in the “information name” of the information management table of the related information storage DB 15 and the “virtual directory” is stored in the “information type” (step C1). Subsequently, all the virtual directories generated in step C1 are associated with the lower hierarchy of the “root” that is the existing virtual directory (see FIG. 13B). At this time, the “root” ID is stored in “related source ID”, the “virtual directory” ID is stored in “related destination ID”, and the “parent / child directory” is stored in “relation”. (Step C2). As a result, the “virtual directory” corresponding to each single word is arranged in the highest hierarchy as a classification although it is lower in the root.

  Subsequently, for all the words, a “keyword” having the word as a keyword name is generated (see FIG. 13C). At this time, “word” is stored in “information name” and “keyword” is stored in “information type” in the information management table of the related information storage DB 15 (step C3). Then, the “keyword” generated in step C3 is associated with the “virtual directory” whose name is the same word as the keyword (see FIG. 13D). Specifically, the ID of the virtual directory is stored in the “related source ID”, the keyword ID in the “related destination ID”, and the “keyword” in the “relation” in the related management table of the related information storage DB 15 (step) C4).

  Subsequently, the first and second words, the first to third words,..., The first to nth words are connected in accordance with the order of words (appearance order) in the original text data. Then, a virtual directory whose name is the concatenated word (combined keyword) generated by concatenation is generated (see FIG. 14A). At this time, “concatenated words” is stored in “information name” and “virtual directory” is stored in “information type” in the information management table of the related information storage DB 15 (step C5). For example, as shown in FIG. 14A, “word1word2”, “word1word2word3”, and the like are generated as virtual directories based on concatenated words.

  Then, each of the words before the concatenation that generated the name of the virtual directory is associated as a keyword with the virtual directory generated in step C5 (see FIG. 14B). At this time, the ID of the virtual directory is stored in the “related source ID” of the related management table of the related information storage DB 15, the keyword ID is stored in the “related destination ID”, and the “keyword” is stored in the “relation” (step C 6). . For example, the keywords “word1” and “word2” are associated with the virtual directory “word1word2” obtained by concatenating “word1” and “word2”.

  Note that the above-described word connection is performed based on the degree of adjacency between words in the original text data. For example, when words are connected, words located next to each other are connected with the particle removed by the above-described processing. And words that are not next to each other are not connected. However, the word connection method described above is merely an example, and the word may be connected by another method.

  Subsequently, a virtual directory having a name concatenated from the first to the (n−1) th and the first to the nth (n = 2 to a) are concatenated in the order of words in the original text data. A virtual directory having a name is associated as a parent-child directory (see FIG. 15). That is, the virtual directory having the name of the concatenated word is associated with the lower hierarchy of the virtual directory having the name of a single word or another concatenated word included in the concatenated word. Then, the ID of the virtual directory having a name obtained by concatenating the first to the (n−1) th to the “related source ID” in the related management table of the related information storage DB 15, and the first to nth in the “related destination ID”. The ID of the virtual directory having the name concatenated up to and including the “parent / child directory” in the “relation” is stored (step C7).

  The process of step C7 described above will be specifically described with reference to FIG. First, a virtual directory “word1” corresponding to a single word (word1) is arranged in the highest hierarchy, and another single word (word2) is linked to the single word (word1) in this lower hierarchy. The virtual directory “word1word2” corresponding to the concatenated word (word1word2) is associated. Furthermore, a virtual directory “word1word2word3” corresponding to another concatenated word (word1word2word3) obtained by concatenating another single word (word3) to the concatenated word (word1word2) is associated with this lower hierarchy. Then, the virtual directory is associated to a lower hierarchy.

  Subsequently, a lower hierarchy of the virtual directory corresponding to the mth word whose appearance order is the second or lower is constructed. Specifically, mth and (m + 1) th, mth to (m + 2) th, ..., mth to nth (m = 2 to (a-1), n = 3 to a, m <n ) Are concatenated, and a virtual directory whose name is the concatenated word is generated (see FIG. 16A). Then, the word concatenated with the “information name” in the information management table of the related information storage DB 15 and the “virtual directory” in the “information type” are stored (step C8).

  Also at this time, words arranged in the original text data (order of appearance) and adjacent words are connected. For example, as shown in FIG. 16A, “word2word3”, “word2word3word4”, etc. are generated as virtual directories.

  Next, each word before linking that generated the name of the virtual directory is associated as a keyword with the virtual directory generated in step C8 (see FIG. 16B). Then, the virtual directory ID is stored in the “relation source ID”, the keyword ID in the “relation destination ID”, and the “keyword” in the “relation” (step C9).

  Next, a virtual directory having a name concatenated from the mth to the (n−1) th so as to be the order of words in the original text data, and the mth to nth (n = 2 to (a−) A virtual directory having a name concatenated from 1, n = 3 to a, m <n) is associated as a parent-child directory (see FIG. 17), that is, a virtual directory having a concatenated word name is associated with this concatenated word. It is associated with a lower hierarchy of a virtual directory having the name of a single word or other concatenated word combination included, and the “related source ID” in the related management table of the related information storage DB 15 is mth to (n−1) th. ID of the virtual directory having the name concatenated up to, the ID of the virtual directory having the name concatenated from the m-th to the n-th to the “related destination ID”, and “parent” in the “relation” The directory ", to save (step C10).

  Here, the process of step C10 described above will be specifically described with reference to FIG. First, a virtual directory “word2” corresponding to a single word (word2) is arranged in the highest hierarchy, and another single word (word3) is assigned to the single word (word2) in this lower hierarchy. The virtual directory “word2word3” corresponding to the concatenated linked word (word2word3) is associated. Furthermore, a virtual directory “word1word2word3” corresponding to another concatenated word (word1word2word3) obtained by concatenating another single word (word3) to the concatenated word (word1word2) is associated with this lower hierarchy. Then, the virtual directory is associated to a lower hierarchy.

  Next, a virtual directory having a name obtained by concatenating words from the mth to the nth, and (m-1) th to nth (m = 2 to (a-1), n = 2 to (a-1) , M ≦ n), a virtual directory having a name obtained by concatenating words up to m ≦ n) is associated as a parent-child directory (see FIG. 18). Then, the ID of the virtual directory having a name obtained by concatenating the mth to the nth to the “related source ID” in the related management table of the related information storage DB 15, and the (relation destination ID) from the (m−1) th to the nth The ID of the virtual directory having the name concatenated up to is saved, and the “parent / child directory” is stored in the “relation” (step C11).

  The above process will be further described with reference to FIG. First, a virtual directory (eg, virtual directory “word2”) corresponding to a predetermined single word (eg, word2) is already associated with another virtual directory (eg, virtual directory “word1”). A virtual directory (for example, virtual directory “word1word2”) corresponding to a concatenated word (for example, word1word2) including the predetermined single word (word2). As another example, in a lower hierarchy of a virtual directory (eg, virtual directory “word2word3”) corresponding to a predetermined concatenated word (eg, word2word3), another virtual directory (eg, virtual directory “word1word2”) A virtual directory (for example, virtual directory “word1word2word3”) corresponding to a concatenated word (for example, word1word2word3) including the predetermined concatenated word (word2word3) that is already associated is associated.

  In addition, the classification hierarchy structure generation unit 13 generates predetermined information (data file) associated with the text data collected by the user input monitoring unit 11 described above as a virtual directory of the classification hierarchy structure data generated as described above. Store it in association with. That is, the information itself in which the text data used to generate the classification hierarchical structure is input is associated with each virtual directory associated with the same keyword as the keyword extracted from the text data. As a result, the information can be referred to from all the associated virtual directories, as will be described later.

  Next, the operation of the access information monitoring unit 16 will be described with reference to the flowchart of FIG. The access information monitoring unit 16 monitors access to information such as user files and Web pages (step D1, data access monitoring step). When access to the user information is detected (step D2), text data such as the file name and title of the information accessed by the user is extracted to generate access related information (step D3). Subsequently, the generated access related information is transmitted to the information association unit 17 (step D4).

  Next, the operation of the information association unit 17 will be described with reference to FIG. First, access related information is received from the access information monitoring unit 16 (step E1). Then, from the information management table of the related information storage DB 15, the “information name” is extracted although the “relation” is “keyword”, and this “information name” is the “important location of the access information” in the access related information. It is searched whether it is in the “text of” (step E2). That is, it is checked whether or not the text data included in the accessed information already has the same information as the keyword included in the classification hierarchical structure data.

  If the information is hit by the search (step E3: Yes) and the information already registered as a keyword in the classification hierarchical structure data is included in the accessed information, “ In the “Information Name” field, the “Access Information Important Location Text” field is displayed. In the “Information Type” field, the “Access Information Type” field is displayed in the “Access Information” field. Save the “location of information”.

  Subsequently, all the virtual directories associated with the hit keyword are searched from the related management table of the related information storage DB 15, and the virtual directory and the access information (data file) are associated (step E4, data association step). . Specifically, the virtual directory ID is stored in the “relation source ID” of the related management table of the related information storage DB 15, the access information ID is stored in the “relevant destination ID”, and “affiliation” is stored in the “relation” ( Step E4).

  Subsequently, as the keyword information, the “text of the important location of the access information” of the access related information and the “virtual directory ID” associated with the access information are transmitted to the keyword extracting unit 18 (step E5). .

  In the above, access information is associated with the virtual directory associated with all hit keywords, but considering the hierarchical structure, it is associated with only the shallowest part of the hierarchical structure, or with the deepest part. Etc.

  Next, the operation of the keyword extraction unit 18 will be described with reference to FIG. First, information is received from the information association unit 17 (step F1). Subsequently, the “text of an important place of access information” of the received information is divided into words by morphological analysis (step F2). Subsequently, among the extracted words, words with parts of speech other than verbs, nouns, and adjectives, and words classified as non-independent words by verbs, nouns, and adjectives are excluded (step F3). Subsequently, the words stored in the excluded word DB 14 are excluded (step F4). Thereby, a word (access target keyword) in the text data included in the information accessed by the user is extracted as keyword candidate data (keyword candidate extraction step). At this time, in particular, a word that is not registered as a keyword in the related information storage DB 15 by the information association unit 17 described above is set as a keyword candidate.

  Subsequently, the keyword candidate table of the keyword candidate DB 19 is searched with the keyword candidates that are the words extracted as described above and the virtual directory ID (step F5). When the search results in a hit when the keyword candidate exists in the keyword candidate DB 19 (step F6: Yes), the count associated with the hit keyword candidate is incremented by “1” (step F7). On the other hand, if there is no hit, the virtual directory ID searched for “virtual directory ID” in the keyword candidate table, the keyword candidate that is the word searched for “keyword candidate”, and “1” for “count” are displayed. Save (step F8). Subsequently, when a hit occurs as described above (after step F7), it is checked whether or not the count number has reached a threshold value as a result of adding the count number by "1" (step F9). If the threshold value has been reached (step F9: Yes), the reached “virtual directory ID” and “keyword candidate” are transmitted as keyword information to the classification structure generation unit 13 (step F10). Then, Step F5 is repeated for all words.

  Next, with reference to the flowchart of FIG. 12, the operation when the classification hierarchy structure generation unit 13 receives keyword information including keyword candidates from the keyword extraction unit 18 will be described.

  First, keyword information is received from the keyword extraction unit 18 (step G1). Subsequently, a virtual directory whose name is “keyword candidate” in the keyword information is generated. Then, the keyword information “keyword candidate” is stored in the “information name” of the related information storage DB 15 and the “virtual directory” is stored in the “information type” (step G2).

  Subsequently, a keyword is generated with the keyword candidate as a name. Then, the keyword candidate is stored in the “information name” in the information management table of the related information storage DB 15 and the “keyword” is stored in the “information type” (step G3). Subsequently, the generated virtual directory is associated with the keyword. Then, the virtual directory ID is stored in the “related source ID”, the keyword ID in the “related destination ID”, and the “keyword” in the “relation” in the related management table of the related information storage DB 15 (step G4).

  Subsequently, the generated virtual directory is associated with the virtual directory of the virtual directory ID of the keyword candidate information as the parent directory. Then, the virtual directory ID of the keyword candidate information is stored in the “related source ID” of the related management table, the virtual directory ID is stored in the “related destination ID”, and the “parent / child directory” is stored in the “relation” (step G5). At this time, since the keyword associated with the parent directory is also associated with the child directory, “related source ID” in the related management table is searched with the ID of the parent directory and “relation” is searched with “keyword”. The ID of the generated virtual directory is stored in the “related source ID”, the ID of the keyword of the search result is stored in the “related destination ID”, and the “keyword” is stored in the “relation” (step G6). The generated virtual directory is associated with information including a keyword among information associated with the parent directory. At this time, the virtual directory ID is stored in the “related source ID” of the related management table, the ID of the information belonging to the parent directory including the keyword in the “related destination ID”, and “affiliation” is stored in the “relation”. (Step G7).

  Here, FIG. 19 shows a case where new information is associated with the virtual directory, the count value of the keyword candidate included in this information reaches the threshold value, and the virtual directory is added to the classification hierarchical structure data. In the example of this figure, first, the information including “wordd” is associated with the existing virtual directory “wordc”, and then when the count value of the word “word” reaches the threshold, the virtual directory “wordc” is subordinate to A new virtual directory “wordcwordd” is added.

  Next, a hierarchical structure display screen that is generated and controlled by the hierarchical structure display unit 20 will be described with reference to FIG. The hierarchically popular screen includes an area 101, an area 102, an area 103, and an area 104. In the area 101, the classification hierarchical structure data is displayed in a tree shape with the root as a vertex. When the displayed virtual directory is clicked or selected, the tree is expanded and child directories (lower layers) of the clicked virtual directory are displayed. Similarly, when a child directory is selected, lower level child directories associated with this directory are displayed.

  In the area 102, information (data file) associated with the virtual directory selected in the area 101 is displayed. For example, the example of FIG. 20 shows a state where “virtual directory AB” is selected, and the area 102 is based on “keyword A” and “keyword B” associated with “virtual directory AB”. The associated “information A” and “information AB” are displayed.

  In the area 103, the parent directory of the virtual directory currently selected in the area 101 is displayed. In the example of FIG. 20, “virtual directory A” and “virtual directory B”, which are parent directories of “virtual directory AB”, are displayed so as to be selectable. Thereby, it is possible to proceed from the current “virtual directory” to an upper hierarchy or a lower hierarchy. In the area 104, a button to which a function for returning or advancing the hierarchy followed by the user in the toolbar area is displayed.

  As described above, according to the present embodiment, a classification hierarchical structure can be automatically generated from text data used by a user or the like based on keywords included in the text data. In particular, an appropriately hierarchized hierarchical structure can be generated based on the inclusion relationship of words included in a single word and a connected word. Therefore, the user can easily perform data classification and data search using the generated hierarchical structure, and can execute data classification and data search appropriately and efficiently. As a result, user convenience can be improved.

  In the above, a single information processing apparatus performs processing such as text data extraction, analysis, classification hierarchical structure data generation, access information classification using the classification hierarchical structure data, and information retrieval. However, it is not necessarily realized by one information processing apparatus. For example, the functions of the information processing apparatus described above may be distributed and installed in a plurality of information processing apparatuses, for example, only the generation of classification hierarchical structure data is executed by another information processing apparatus. That is, the function of the information processing apparatus described above may be configured by a system including a plurality of information processing apparatuses.

<Embodiment 3>
Next, a third embodiment of the present invention will be described with reference to FIGS. The present embodiment shows a further specific operation example in the information processing apparatus 10 in the second embodiment described above.

  First, information as shown in FIG. 21 is stored in the user input monitoring location setting table of the monitoring location information DB 12. Then, the user input monitoring unit 11 reads the monitoring location information from the input monitoring location setting table of the monitoring location information DB 12, for example, at the time of activation, and monitors the input of the location.

  As an example, it is assumed that a user starts a mailer, creates a new mail, inputs “Re: ○ × △ contact of development meeting of project” to a subject (see FIG. 22A), and transmits it. Then, the user input monitoring unit 11 collects this text data and transmits it to the classification hierarchy structure generation unit 13 because the subject input field of the mailer is at the monitoring location.

  Next, upon receiving this text data, the classification hierarchical structure generation unit 13 performs morphological analysis and breaks it down into words. Then, as shown in FIG. 22B, as a result of being decomposed into words, “Re”, “:”, ○ × △ ”, project,“ no ”,“ development ”,“ conference ”,“ no ”, Divided into 10 words, “contact” and “about”, of which “:”, “no”, and “about” are excluded because the part of speech is other than a noun, verb, or adjective. 21B is stored in the word DB 14. In this case, since “Re” is registered in the excluded word list, it is excluded. As shown in (C), classification hierarchical structure data is generated using the remaining words “XX”, “project”, “development”, “conference”, and “contact”.

  Next, a virtual directory whose names are “XX”, “project,“ development ”,“ conference ”, and“ contact ”is generated, and the information management table of the related information storage DB 15 is shown in FIG. In this way, IDs are numbered in order, each “word” is stored in “information name”, and “virtual directory” is stored in “information type”.

  Subsequently, the “root” is associated with the generated “virtual directory”. At this time, in the related management table of the related information storage DB 15, as shown in FIG. 24, the route ID “0” is generated in the “related source ID” and the ID “1” of the virtual directory generated in the “related destination ID”. , “2”, “3”, “4”, “5” and “Parent / Child Directory” in “Relation”.

  Next, for all words, a keyword having the word as a keyword name is generated. At this time, as shown in FIG. 23, IDs are sequentially assigned to the information management table of the related information storage DB 15, and “word” is assigned to “information name” and “keyword” is assigned to “information type”. ,save.

  Next, a virtual directory whose name is the same word as the generated keyword is associated. At this time, in the related management table of the related information storage DB 15, as shown in FIG. 24, “1” is set for “related source ID”, “6” is set for “related destination ID”, “keyword” is set for “relation”, “Related Source ID” is “2”, “Related Target ID” is “7”, “Relation” is “Keyword”, “Related Source ID” is “3”, “Related Target ID” is “8”, “Relationship” "Keyword", "related source ID" "4", "related destination ID" "9", "relation" "keyword", "related source ID" "5", "related destination ID" "10" in "" and "Keyword" in "Relation".

  Next, “○ × △ Project”, which is a combination of “○ × △” and “Project”, is changed to “○ × △ Project Development”, which is a combination of “○ × △”, “Project” and “Development”. △ ”,“ Project ”,“ Development ”,“ Conference ”connected to“ ○ × △ Project Development Conference ”,“ ○ × △ ”,“ Project, “Development”, “Conference”, “Contact” A virtual directory having the name “XXΔ Project Development Meeting Contact” is generated, and IDs are assigned in order to the information management table of the related information storage DB 15 as shown in FIG. “Concatenated words” is stored in “Name”, and “Virtual directory” is stored in “Type of information”.

  Next, the keywords “○ × △” and “project” are added to the virtual directory “○ × △ project”, the keywords “○ × △”, “project” and “development” are added to the virtual directory “○ × △ project development”. The keywords “○ × △”, “Project”, “Development”, and “Conference” for the virtual directory “○ × △ Project Development Conference”, and the keywords “○ × △” for the virtual directory “○ × △ Project Development Conference Contact”. Associate "project", "development", "conference" and "contact". At this time, as described above, the related information is stored in the related management table as shown in FIG.

  Next, the virtual directory “○ × △” and the virtual directory “XX project” are set as the parent and child directories, the virtual directory “XX project” and the virtual directory “XX project development” are set as the parent and child directories, and the virtual directory “ XX project development "and virtual directory" XX project development meeting "are related as parent and child directories, and virtual directory" XX project development meeting "and virtual directory" XX project development meeting communication "are related as parent and child directories. At this time, the related information is stored in the related management table as shown in FIG.

  Next, the virtual directories “project development”, “project development conference”, “project development conference contact”, “development conference”, “development conference contact”, and “conference contact” are generated. At this time, the information is stored in the information management table as shown in FIG.

  Next, the keywords “project” and “development” in the virtual directory “project development”, the keywords “project”, “development”, and “meeting” in the “project development meeting”, and the keyword “project” in the “project development meeting contact” "And" development "and" conference "and" contact ", the keyword" development "and" conference "in the virtual directory" development meeting ", the keywords" development "and" conference "and" in the virtual directory "development meeting contact" The keyword “conference” and “contact” are associated with the virtual directory “conference contact”, respectively. At this time, similarly to the above, it is stored in the related management table as shown in FIG. FIG. 25 shows the continuation of FIG. 24 described above, and the related management table is configured by FIGS. 24 and 25.

  Next, the virtual directory “project” and virtual directory “project development”, virtual directory “project development” and virtual directory “project development meeting”, virtual directory “project development meeting” and virtual directory “project development meeting communication”. Associate as parent-child directory. At this time, it is stored in the related management table as shown in FIG.

  Next, the virtual directory “Development” and the virtual directory “Development Meeting” are associated with the virtual directory “Development Meeting” and the virtual directory “Development Meeting Contact”, and the virtual directory “Conference” and the virtual directory “Conference Contact” are associated as parent-child directories. . At this time, it is stored in the related management table as shown in FIG.

  Next, the virtual directory “project” and the virtual directory “XX project”, the virtual directory “project development” and the virtual directory “XX project development”, the virtual directory development meeting “project” and the virtual directory “XX”. △ Project development meeting ”, virtual directory“ project development meeting contact ”and virtual directory“ XX △ project development meeting contact ”, virtual directory“ development ”and virtual directory“ project development ”, virtual directory“ conference contact ” The virtual directory “development meeting contact” is associated with the virtual directory “contact” and the virtual directory “conference contact”. At this time, it is stored in the related management table as shown in FIG.

  As described above, the classification hierarchical structure data as shown in FIG. 26 can be generated.

  Next, a case where the user starts the filer, creates a new file, and inputs “★ □ ○ project development report” as the file name will be described. Since the file name input field of the filer is in the monitoring location, the user input monitoring unit 10 collects this text data and transmits it to the classification hierarchy structure generation unit 13.

  And the classification | category hierarchy structure production | generation part 13 will decompose | disassemble into a word by morphological analysis, if this text data is received. Then, as a result of being decomposed into words, the words are divided into four words “★ □ ○”, “project”, “development”, and “report”. Subsequently, classification hierarchical structure data is generated using the words “★ □ ○”, “project”, “development”, and “report”. The classification hierarchical structure data generation procedure is the same as described above. That is, the information shown in FIGS. 27 and 28 is stored and generated in the information management table and the relation management table of the relation information storage DB 15. However, at this time, a virtual directory named “★ □ ○”, “Project”, “Development”, and “Report” is created, but a virtual directory named “Project” and “Development” has already been created. So do not create a new one. Then, the newly generated virtual directory and keyword are added to the above-described classification hierarchical structure data shown in FIG. 26, and new classification hierarchical structure data as shown in FIG. 29 is generated.

  Next, it is assumed that the user opens a document named “XX project UI module development specification” in the “C: \ document” folder with a text editor. At this time, as shown in FIG. 30A, the access information monitoring location setting table is set to collect the file names of the files opened by the text editor. Therefore, the access information monitoring unit 16 detects the access to the file by the user and collects the file name “XXΔ project UI module development specification”. Then, based on this file, the access related information shown in FIG. 30 (B) is generated and transmitted to the information association unit 17.

  Next, when receiving the access related information, the information associating unit 17 searches the information management table in the related information storage DB 15 and extracts information whose type is “keyword”. At this time, assuming that the information management table of the related information storage DB 15 is in the state shown in FIG. 23, “◯ × Δ”, “project”, “development”, “conference”, and “contact” are extracted. Searching for “XX project UI module development specification” with this keyword will hit “XX”, “project”, and “development”. Subsequently, when the IDs of these three keywords are extracted from the information management table, “6”, “7”, and “8” are extracted. Subsequently, the related destination ID in the related management table is searched by this ID and the relationship is searched by “keyword”, and a virtual directory to which at least one of the three keywords is related is extracted. At this time, since the relation management table is in the state as shown in FIGS. 24 and 25, the relation source IDs are “1”, “2”, “3”, “11”, “12”, “13”, “14”. “,” “25”, “26”, “27”, “28”, and “29” are extracted.

  Next, the access related information is stored in the information management table. At this time, “XX Name Project UI Module Development Specification” in “Information Name” of the Information Management Table, “File” in “Information Type”, “C: \ Document” in “Location”, When saved, “30” is automatically assigned to the ID.

  Next, the access related information is associated with the virtual directory. At this time, “1”, “2”, “3”, “11”, “12”, “13”, “14”, “25”, “26” extracted earlier in the relation source ID of the relation management table, respectively. “,” “27,” “28,” “29,” “30”, which is the ID of the access information, is stored in the related destination ID, and “affiliation” is stored in “relation”. As a result, the data shown in FIG. 31 is added to the association management table shown in FIGS.

  Next, the information association unit 17 generates keyword candidate information as shown in FIG. 32 and transmits the keyword candidate information to the keyword extraction unit 18. Then, when receiving the keyword candidate information, the keyword extraction unit 18 decomposes the keyword candidate information into words by morphological analysis. Then, six words of “◯ × Δ”, “project”, “UI”, “module”, “development”, and “specification” are extracted. If the keyword candidate table is in the state shown in FIG. 33A, the count number of the keyword candidate “UI” and the virtual directory ID “11” is incremented by “1”, and the threshold value of 10 is reached. . Then, the keyword extraction unit 18 generates keyword information as shown in FIG. 33B and transmits it to the classification hierarchy structure generation unit 13.

  Next, when receiving the keyword information as shown in FIG. 33B from the keyword extracting unit 18 as described above, the classification hierarchical structure generating unit 13 generates a virtual directory “UI” and stores “information” in the information management table. "UI" is set in "Name" and "Virtual directory" is set in "Type of information". At this time, “31” is automatically assigned to “ID” by the related information storage DB 15.

  Next, the classification hierarchical structure generation unit 13 generates a keyword, associates it with the virtual directory “UI”, stores “UI” in the “information name” of the information management table, and stores “keyword” in the “information type”. To do. At this time, “32” is automatically assigned to “ID” by the related information storage DB 15. Then, the generated virtual directory is associated with the keyword, and “31” is stored in “related source ID”, “32” is stored in “related destination ID”, and the keyword is stored in “relation”.

  Next, the generated virtual directory is associated with a virtual directory whose “ID” is “11”, “11” is associated with “related source ID” and “31” is associated with “related destination ID” in the related management table. Save the "parent-child directory". Subsequently, a keyword associated with the virtual directory whose parent directory is the virtual directory ID “11” is searched and associated with the generated virtual directory.

  Next, it is assumed that the user has displayed the classification hierarchical structure data generated as described above. Then, first, as shown in FIG. 34, the classification hierarchical structure data is displayed in the area 111 in a tree shape with the root as a vertex. Here, the level one level below the root is displayed. Subsequently, as shown in FIG. 35, when the virtual directory “OxΔ” is selected, the tree is expanded. In the area 111, the child associated with the lower hierarchy of the clicked virtual directory “OxΔ” is displayed. A virtual directory “XX project” as a directory is displayed. Similarly, when a child directory is selected, lower level child directories associated with this directory are displayed.

  In the area 112, a data file that is information associated with the virtual directory “◯ ΔΔ” is displayed. Here, since a file including “OxΔ” in the file name is associated, it is displayed. Therefore, it becomes easy for the user to access a file having a specific keyword.

  At this time, the parent directory of the virtual directory currently selected in the area 111 is displayed in the area 113. Here, “route” is displayed. By selecting this, it is possible to move to the “route”. In the area 114, left and right arrow buttons are displayed, and it is possible to go back and advance through the hierarchy followed by the user.

  FIG. 36 shows a display screen when a lower virtual directory “XX project” is selected from the screen of FIG. First, in the area 111, the tree is further expanded to display a virtual directory “XX project development” which is a child directory associated with a lower hierarchy of the clicked virtual directory “XX project”. In the area 112, a data file that is information associated with the virtual directory “XX project” is displayed. Here, since a file including “OxΔ” in the file name is associated, it is displayed.

  At this time, in the area 113, the parent directory of the virtual directory currently selected in the area 111 is displayed. Here, “◯ × Δ” and “project” are displayed. Therefore, for example, by selecting “project”, it is possible to move to the virtual directory “project”. FIG. 37 shows a display screen when moving to the virtual directory “project”.

  As shown in FIG. 37, when the virtual directory “project” is selected, first, in the area 111, virtual directories “XX project”, “project development” and the like associated with the lower hierarchy of the virtual directory are displayed. The In the area 112, information whose keyword is “project” is displayed as information associated with the virtual directory “project”. In the area 113, “root” which is the upper hierarchy is displayed.

  FIG. 38 shows a display screen when a lower virtual directory “XX project” is selected from the screen of FIG. Then, the display is the same as in FIG. 35 described above. That is, the same information can be reached regardless of whether the virtual directory “◯ ΔΔ project” comes from the virtual directory “XX” or “project” located in the upper hierarchy.

  FIG. 39 shows a display screen when the virtual directory “★ □ ○ project” is selected in the area 111 of the screen in FIG. In this screen, the virtual directory “★ □ ○” and “project” located in the upper layer of the virtual directory “★ □ ○ project” are displayed in the area 113. Therefore, it is possible to move to a virtual directory “★ □ ○” which is an upper hierarchy.

  FIG. 40 shows a state when the virtual directory “development” is selected. Further, FIG. 41 shows a state when the virtual directory “project development” which is the lower hierarchy is selected.

  As described above, in this embodiment, a hierarchical structure suitable for a user can be automatically generated from text data used by the user or the like based on a keyword included in the text data. Therefore, the user can easily perform data classification and data search using the generated hierarchical structure, and can execute data classification and data search appropriately and efficiently. As a result, user convenience can be improved.

  INDUSTRIAL APPLICABILITY The present invention can be applied to an application that supports the organization and search of information when the user performs an operation using an information processing apparatus such as a personal computer, and has industrial applicability. .

1 is a functional block diagram illustrating a configuration of an information processing apparatus according to a first embodiment. 6 is a functional block diagram illustrating a configuration of an information processing apparatus according to a second embodiment. FIG. It is a figure which shows an example of the data utilized with information processing apparatus. It is a figure which shows an example of the data utilized with information processing apparatus. It is a figure which shows an example of classification | category hierarchy structure data. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is a flowchart which shows operation | movement of information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of the classification | category hierarchical structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is explanatory drawing which shows the mode of the production | generation process of classification hierarchy structure data by information processing apparatus. It is a figure which shows the example of a display of classification | category hierarchy structure data. 14 is a diagram illustrating an example of data stored in an information processing apparatus according to Embodiment 3. FIG. It is a figure which shows the example of analysis of text data. It is a figure which shows an example of an information management table. It is a figure which shows an example of a related management table. It is a figure which shows an example of a related management table. It is a figure which shows an example of classification | category hierarchy structure data. It is a figure which shows an example of an information management table. It is a figure which shows an example of a related management table. It is a figure which shows an example of classification | category hierarchy structure data. It is a figure which shows an example of the data utilized with information processing apparatus. It is a figure which shows an example of a related management table. It is a figure which shows an example of the data utilized with information processing apparatus. It is a figure which shows an example of the data utilized with information processing apparatus. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data. It is a figure which shows the example of a display of classification | category hierarchy structure data.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 2 Text acquisition means 3 Hierarchical structure generation means 4 Storage apparatus 10 Information processing apparatus 11 User input monitoring part 12 Monitoring place information DB
13 Classification hierarchy structure generation part 14 Exclusion word DB
15 Related information storage DB
16 Access information monitoring unit 17 Information association unit 18 Keyword extraction unit 19 Keyword candidate DB
20 Hierarchical structure display

Claims (22)

Text acquisition means for acquiring predetermined text data;
Hierarchical structure in which keywords included in the text data acquired by the text acquisition means are extracted, hierarchical structure data consisting of virtual directories hierarchized based on the extracted keywords is generated, and stored in the storage means Generating means,
The hierarchical structure generation means generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword with the combined keyword. The hierarchical structure data is generated in association with a lower hierarchy of another virtual directory corresponding to a keyword included in a keyword or another combined keyword.
Information processing device. The information processing apparatus according to claim 1,
The hierarchical structure generating means arranges the virtual directories respectively corresponding to the single keywords in the highest hierarchy, and combines the single keyword with another keyword in the lower hierarchy. And the virtual directory corresponding to the other combined keyword obtained by combining another single keyword with the combined keyword to generate the hierarchical structure data. ,
Information processing device. The information processing apparatus according to claim 1 or 2,
The hierarchical structure generation means generates the combined keyword by combining the keywords according to the appearance order of the keywords in the text data acquired by the text acquisition means.
Information processing device. An information processing apparatus according to any one of claims 1 to 3,
The hierarchical structure generation unit generates the combined keyword by combining the keywords according to the degree of adjacency between the keywords in the text data acquired by the text acquisition unit.
Information processing device. An information processing apparatus according to any one of claims 1 to 4,
The hierarchical structure generation means is the virtual directory that is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to the predetermined single keyword or the predetermined combined keyword, Associating the virtual directory corresponding to the combined keyword including the single keyword or the predetermined combined keyword;
Information processing device. An information processing apparatus according to any one of claims 1 to 5,
The hierarchical structure generating means stores the virtual directory in association with the keyword included in the single keyword or the combined keyword corresponding to the virtual directory.
Information processing device. An information processing apparatus according to any one of claims 1 to 5,
The hierarchical structure generating means stores the virtual directory in association with a data file associated with the text data obtained by extracting the single keyword or the combined keyword corresponding to the virtual directory.
Information processing device. An information processing apparatus according to any one of claims 1 to 7,
Data access monitoring means for monitoring access to predetermined data;
The virtual directory in which the keyword included in the text data included in the predetermined data detected to be accessed by the data access monitoring unit is extracted as an access target keyword, and the access target keyword is included in the hierarchical structure data Data associating means for associating a data file representing the predetermined data in which the access target keyword is detected with the virtual directory, when the keyword or the combined keyword corresponding to
An information processing apparatus comprising: An information processing apparatus according to any one of claims 1 to 8,
Data access monitoring means for monitoring access to predetermined data;
The keyword included in the text data included in the predetermined data detected to be accessed by the data access monitoring means is extracted as an access target keyword, and the access target keyword is included in the hierarchical structure data. Keyword candidate extraction means for extracting, as keyword candidate data, a keyword that is not identical to the keyword corresponding to the directory or the combined keyword,
The keyword candidate extraction means counts the number of extractions of the keyword candidate data, sets the keyword candidate data as the keywords based on the number of extractions,
The hierarchical structure generating means generates the virtual directory based on the keyword set by the keyword candidate extracting means, and adds it to the existing hierarchical structure data.
Information processing device. The information processing apparatus according to claim 7 or 8,
Display control means for displaying and outputting the hierarchical structure data on display means;
The display control means receives the selection of the virtual directory constituting the hierarchical structure data, and controls the display means to display the data file associated with the selected virtual directory;
Information processing device. The information processing apparatus according to claim 7 or 8,
Display control means for displaying and outputting the hierarchical structure data on display means;
The display control means receives selection of the virtual directory that constitutes the hierarchical structure data, and is associated with another virtual directory associated with an upper hierarchy and / or a lower hierarchy of the selected virtual directory. Controlling to display the data file on the display means;
Information processing device. The information processing apparatus according to claim 10 or 11,
The display control means displays the virtual directory associated with the upper hierarchy and / or the lower hierarchy of the selected virtual directory based on the hierarchical structure data so as to be selectable on the display means.
Information processing device. In the information processing device,
Text acquisition means for acquiring predetermined text data;
Hierarchical structure in which keywords included in the text data acquired by the text acquisition means are extracted, hierarchical structure data consisting of virtual directories hierarchized based on the extracted keywords is generated, and stored in the storage means Generating means;
Realized,
The hierarchical structure generation means generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword with the combined keyword. A function of generating the hierarchical structure data in association with a lower hierarchy of another virtual directory corresponding to a keyword included in a keyword or another combined keyword;
program. 14. The program according to claim 13, wherein
The hierarchical structure generation means arranges the virtual directories respectively corresponding to the single keywords in the highest hierarchy, and combines the single keyword with another keyword in the lower hierarchy. And the virtual directory corresponding to the other combined keyword obtained by combining the single keyword with the combined keyword to generate the hierarchical structure data.
program. A virtual directory generated corresponding to each of the keyword included in the acquired predetermined text data and the combined keyword obtained by combining the keyword is layered and configured.
The virtual directory corresponding to the combined keyword is associated with a keyword included in the combined keyword or a lower hierarchy of another virtual directory corresponding to another combined keyword,
Hierarchical data. The hierarchical structure data according to claim 15,
The virtual directories corresponding to the single keywords are arranged in the highest hierarchy, and the virtual directories corresponding to the combined keyword obtained by combining the single keyword with another single keyword in the lower hierarchy. In association with this lower hierarchy, the virtual directory corresponding to the other combined keyword obtained by combining the combined keyword with the combined keyword is configured to be associated.
Hierarchical data. The hierarchical structure data according to claim 15 or 16,
The virtual directory that is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to the predetermined single keyword or the predetermined combined keyword, and the predetermined single keyword or the Constituted by associating the virtual directory corresponding to the combined keyword including a predetermined combined keyword;
Hierarchical data. A text acquisition process for acquiring predetermined text data;
A hierarchical structure in which keywords included in the text data acquired in the text acquisition step are extracted, hierarchical structure data including virtual directories hierarchized based on the extracted keywords is generated, and stored in a storage unit A production process,
The hierarchical structure generation step generates a combined keyword obtained by combining the keywords, generates the virtual directory corresponding to the keyword and the combined keyword, and combines the virtual directory corresponding to the combined keyword The hierarchical structure data is generated in association with a lower hierarchy of another virtual directory corresponding to a keyword included in a keyword or another combined keyword.
Information processing method. The information processing method according to claim 18,
In the hierarchical structure generation step, the combined keywords obtained by arranging the virtual directories respectively corresponding to the single keywords in the highest hierarchy and combining the single keyword with another single keyword in the lower hierarchy. And the virtual directory corresponding to the other combined keyword obtained by combining another single keyword with the combined keyword to generate the hierarchical structure data. ,
Information processing method. The information processing method according to claim 18 or 19,
The hierarchical structure generation step includes the virtual directory that is already associated with another virtual directory in a lower hierarchy of the virtual directory corresponding to the predetermined single keyword or the predetermined combined keyword, Associating the virtual directory corresponding to the combined keyword including the single keyword or the predetermined combined keyword;
Information processing method. An information processing method according to any one of claims 18 to 20,
After the hierarchical structure generation step,
A data access monitoring process for monitoring access to predetermined data;
The virtual directory in which the keyword included in the text data included in the predetermined data detected to be accessed in the data access monitoring step is extracted as an access target keyword, and the access target keyword is included in the hierarchical structure data A data association step of associating a data file representing the predetermined data in which the access target keyword is detected with the virtual directory when the keyword is the same as the keyword or the combined keyword corresponding to
An information processing method comprising: The information processing method according to any one of claims 18 to 21,
After the hierarchical structure generation step,
A data access monitoring process for monitoring access to predetermined data;
The keyword included in the text data included in the predetermined data detected to be accessed in the data access monitoring step is extracted as an access target keyword, and the access target keyword is included in the hierarchical structure data. A keyword candidate extraction step for extracting, as keyword candidate data, a keyword that is not identical to the keyword corresponding to the directory or the combined keyword,
The keyword candidate extraction step counts the number of extractions of the keyword candidate data, sets the keyword candidate data as the keyword based on the number of extractions,
Thereafter, the hierarchical structure generation step is executed again, the virtual directory is generated based on the keyword set by the keyword candidate extraction unit, and added to the existing classification hierarchical structure data.
Information processing method.

Images