JPH0877206A - Information processor - Google Patents

Abstract

PURPOSE: To easily utilize meaning information by storing and holding meaning information of data and the data in a data storage means so that they correspond to each other. CONSTITUTION: A main control part 1 moves a cursor to a desired character string whose meaning information is to be changed, e.g. 'TAKE' at the head character position of 'TAKEMOTO KEn-ICHI'. Then when a meaning information change key is operated at the input part 2, the main control part 1 reads a KANJI (Chinese character) code 'TAKEMOTO KENICHI' and a meaning number '100' out on the basis of paragraph data in a text data storage part 5 through a test processing part 4 and passes the control to a meaning instruction execution part 8. The meaning instruction execution part 8 moves the control to a meaning process part 6 together with received data. The meaning process part 6 sends the meaning number '100' to a meaning information management part 7 to obtain a character string 'name' of the meaning. This character string is sent to a display part 3 and displayed. A user changes the displayed character string 'name' into a 'boss's name'. Thus, the meaning information can easily be changed.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing apparatus for performing editing processing such as input, creation, insertion, deletion, replacement and copying on data such as character strings, figures and images. In particular, the present invention relates to an information processing device that improves work efficiency of the information processing device that uses semantic information.

[0002]

2. Description of the Related Art In a conventional information processing apparatus, a character string is regarded as a simple collection of character code data in units of one character. However, a character string has an inherent meaning (for human understanding) that represents its content.

A document edit processing device utilizing this meaning is
It is proposed in Japanese Patent Application No. 7-39972, Japanese Patent Application No. 7-57658, Japanese Patent Application No. 7-59445 and the like.

For example, when saying "XX electric machine", this character string has the meaning of "company name". Also,
The meaning of "customer" may also exist. A conventional information processing device cannot handle a character string in a unit of meaning that the character string has. This also applies to figures and images.

Taking the case of correcting a character string as an example,
explain. In the information processing device, the kana-kanji conversion means has a function of inputting a kana character string corresponding to a kanji string in response to the input of a romaji key or a kana key, and converting it into kanji in response to the input of the kanji conversion key. Had to create a document using. One of the advantages of creating a document by using an information processing device such as a Japanese word processor is that the created document can be reused only by changing the necessary parts.

At this time, part of the document once created, for example, data of items such as date, address, company name, department name, partner, sender, etc. is changed and used. In other words, this item has the same meaning, and there is a case where another word is input.
In such a case, there are the following two methods for correcting. The first method is to input from a keyboard using a kana-kanji conversion means.

However, in this case, in order to obtain a necessary character string, it is necessary to input a kana character string corresponding to a character string mixed with kanji, as in the case of inputting a new document.

The second method utilizes a database.
That is, the data of the item to be changed is selected and input from the database prepared in advance. However, in this case, the user needs a troublesome operation such as creating a database file in advance and specifying a database name when using it.

Therefore, when correcting a document, it is necessary to input a kana character string corresponding to a character string mixed with kanji as in the case of inputting a new document. , The trouble is complicated.

Further, in order to use the database as the data to be corrected and input, it is necessary to construct a dedicated database in advance. Moreover, since the data in the database appear in the order in which they were input, it was time-consuming to retrieve the data even though it was frequently used. In addition, the contents of the necessary items were stored in memory, and troublesome operations such as reading were required.

Further, in order to perform such processing, it is necessary to write a dedicated program and to associate data by a complicated operation, which is very troublesome for general users.

For example, when reusing an existing document, the character string to be replaced is analyzed without setting candidates for replacement in advance in association with the character string in the existing document,
If the semantic information can be generated and the character string related to the semantic information can be displayed as the replacement candidate, it is possible to reduce the input load of the user when the existing document is reused.
Therefore, as described above, an information processing device using the semantic information has been proposed.

[0013]

SUMMARY OF THE INVENTION The present invention improves the processing efficiency of such an information processing apparatus.

[0014]

According to the present invention, in an information processing apparatus for editing data such as character strings, figures, images, etc., the semantic information indicating the meaning / role of the data and the data are stored in association with each other. A data storage means (5) for holding is provided. Further, it comprises a semantic information editing means (6) for substantially modifying the semantic information stored in the data storage means (5).

Further, according to the present invention, in an information processing apparatus for editing data such as a character string, a figure, an image, etc., data storage for storing and holding the semantic information indicating the meaning / role of the data and the data in association with each other. Means (5) and the meaning of performing an execution process using the meaning information corresponding to this data when executing a function for editing the data stored in the data storage means (5) An instruction executing means (8) is provided.

Further, a semantic information analysis means for detecting the semantic information indicating the meaning / role of data such as character strings, figures, and images.
(9), if the semantic information corresponding to the data is not stored, the semantic information analysis means (9)
The semantic information is detected and the detected semantic information is stored in the data storage means (5) corresponding to the data. Further, the semantic instruction executing means (8) is characterized by displaying data having the same meaning as the data using the semantic information.

Further, it is characterized in that the selected data selected from the displayed data is replaced with the data. According to the present invention, in an information processing apparatus that edits at least one type of data of a character string, a figure, and an image, the semantic information indicating the meaning / role of each data is stored in association with each data. A data storage means (5) is provided.

The present invention relates to an information processing apparatus for editing at least one kind of data of character strings, figures and images,
Data storage means (5) for storing and holding the semantic information indicating the meaning and role of each data and the above data in association with each other;
With respect to the data stored in the data storage means (5),
When a function for editing is executed, a semantic instruction executing means (8) for executing an execution process using the semantic information corresponding to this data is provided.

The present invention relates to an information processing apparatus for editing at least one kind of data of character strings, figures and images,
Data storage means (5) for storing and holding the semantic information indicating the meaning and role of each data and the above data in association with each other;
Input means (2) for designating at least one of the data stored in the data storage means (5), and to execute a function for editing the designated data It is characterized by comprising a semantic instruction executing means (8) for executing an execution process using the corresponding semantic information.

The present invention relates to an information processing apparatus for editing at least one kind of data of character strings, figures and images,
Data storage means (5) for storing and holding the semantic information indicating the meaning and role of each data and the above data in association with each other;
When one of the data stored in the data storage means (5) is designated, the semantic instruction execution means for extracting replacement candidate data having the same meaning and displaying the list by using the semantic information corresponding to this data ( 8) and are provided.

The present invention relates to an information processing apparatus for editing at least one kind of data of a character string, a figure and an image,
Data storage means (5) for storing and holding the semantic information indicating the meaning and role of each data and the above data in association with each other;
Using the input means (2) for designating at least one of the data stored in the data storage means (5) and the semantic information corresponding to the designated data, replacement candidate data having the same meaning is obtained. It is characterized by comprising a semantic command executing means (8) for extracting and displaying the list.

In addition to the above, the present invention is provided with a semantic information analysis means (9) for detecting at least semantic information indicating the meaning / role of the character string data, and means for executing the semantic command for the character string data ( According to 8), when the semantic information corresponding to this character string data is used, and when the semantic information corresponding to this character string data is not stored in the data storage means, the semantic information analysis means (9) Is detected and the detected semantic information is stored in the data storage means (5) in correspondence with the character string data.

[Operation] Since the present invention is provided with the data storage means (5) for storing and holding the semantic information indicating the meaning and role of the data and the data in association with each other, the semantic information can be simply stored. Can be reused. Further, when the semantic information corresponding to the data is not stored, the semantic information of the data is automatically analyzed and stored, so that the operation load on the user is reduced.

[0024]

[Embodiment]

[A. First Embodiment] A first embodiment of the present invention will be described with reference to FIGS.
This will be described with reference to FIG. It should be noted that, in order to make the explanation easy to understand, in the first embodiment, the transition of the display screen contents of the information processing apparatus is mainly described.

First, as shown in FIG. 34, a guide which is an existing document is displayed. The user wants to change the address of this guide and use it as a guide for another person. Here, the operator moves the cursor to the address "Taro Sanyo" and operates a selection input key (not shown) for performing a semantic process.

As shown in FIG. 35, a list of names is displayed. Then, when a desired name is selected from these as shown in FIG. 36, "Taro Sanyo" is converted to "Hanako Tanaka" as shown in FIG. This operation will be described with reference to FIG.
explain. That is, in S3801, when "Sanyo Taro" is specified or a part of "Sanyo Taro" is specified, it is determined whether or not the semantic information is already added to this "Sanyo Taro".

If already added (for example, the meaning is a name), the data whose meaning is "name" is extracted from the meaning dictionary (corresponding to the variable management unit of the third embodiment described later). , S3803 displays a list as shown in FIG. Then, in S3804, the designated data "Hanako Tanaka" is replaced with "Taro Sanyo" and displayed.

If no semantic information is added to "Taro Sanyo" in S3801, the semantic information is analyzed and stored in S3802. This process is called "semantic information addition process". This semantic information addition processing will be described with reference to FIG. In S3901, "Taro Sanyo"
Is compared with the semantic dictionary to extract the meaning of this "Taro Sanyo".

If the meaning dictionary has the meaning "Taro Sanyo" (for example, the meaning is a name), this meaning information "name" is extracted from the meaning dictionary and stored in the text data. Further, in S3901, if there is no meaning of "Taro Sanyo" in the meaning dictionary, the meaning is estimated to be "name" from the preceding and following phrases "section manager" and "don" based on experience.

The meaning information "name" is stored in the text data in association with "Taro Sanyo". This completes the meaning information addition processing. Note that it is possible to add the semantic information manually instead of automatically. [B. Second Embodiment] Next, an outline of the second embodiment will be described with reference to FIGS.
This will be described with reference to FIG.

The organization chart (FIG. 40) which is an existing document is displayed. This document is a document in which not only character strings but also figures and images are integrated. That is, they are multimedia documents and integrated documents. Therefore, this document also has a graphic area and an image area. In this organization chart, character data of the name of the manager or image data obtained by scanning a photograph of the manager is displayed below the name of the manager.

Here, for example, it is assumed that the user wants to create an organization chart in which the general manager of the development department of the organization chart of FIG. 40 is changed from "Goro Mizutani" to "Taro Sanyo". Here, the operator moves the cursor to the image data area of "Goro Mizutani" and inputs the selection input key for performing the semantic processing. As shown in FIG. 41, a list of data regarding “name” is displayed.

That is, the title of this photograph is "Goro Mizutani", and the meaning of "Goro Mizutani" is "name". This meaning is obtained as described above. That is, it is already stored in the text data, or the meaning of “Goro Mizutani” is detected from the meaning dictionary, or it is obtained by analogy from the “department manager” in the vicinity of this image data. Then, the desired data is selected from this list. Here, FIG.
As described above, the image data of "Taro Sanyo" was selected from the above.

Then, as shown in FIG. 42, the face photograph of "Goro Mizutani" is changed to the face photograph of "Taro Sanyo". In addition, if the face photograph of "Taro Sanyo" is not stored yet,
If the character string of "Sanyo Taro" is selected and designated, the face photograph of "Goro Mizutani" is changed to the character string of "Taro Sanyo" as shown in FIG.

FIG. 44 shows the contents regarding the “name” of the variable management unit (semantic dictionary) in this case. [C. Third Embodiment] An information processing apparatus according to a third embodiment of the present invention will be described with reference to FIGS. FIG.
FIG. 3 is a functional block diagram of this information processing apparatus.

The main control section 1 performs input / output control and processing according to an instruction from the input section 2.

The input unit 2 is composed of a keyboard, a mouse and the like, and executes various editing functions, sets various modes, specifies a character code string, and inputs character data. The display unit 3 is composed of a CRT display, an LCD display, or the like, and displays character data, windows, menus, key cursors, mouse cursors, and the like.

The text processing unit 4 controls reading and writing of the text data storage unit 5. Text data storage unit 5
Is composed of a memory and stores character data, character string attributes, meaning numbers, link numbers and the like. The meaning processing unit 6 controls the meaning information management unit 7 and the meaning analysis unit 9 and edits the meaning information.

The semantic information management unit 7 manages the semantic information. The semantic command execution unit 8 controls the variable management unit 11, the list display processing unit 10, and the link data processing unit 14. The meaning analysis unit 9 uses the variable management unit 11 and the like to extract the meaning of the given character string from the given character string.

The list display processing section 10 performs a list display of data and a selection process.

The variable management unit 11 manages data for each meaning. It stores a semantic dictionary and frequency information. The database processing unit 12 manages the database data storage unit 13. The database data storage unit 13 stores database data, semantic information, conditions and the like.

The link data processing unit 14 manages the link information defined in the character string in the text.

This operation will be described below. [C-1. First, description of text data] When the cursor K is moved to the cursor position shown in FIG. 2A displayed on the display unit 3, the main control unit 1 instructs the cursor and the mouse of the input unit 2 to move the cursor. Is input, the cursor position after movement is stored in the cursor position buffer represented by the line and column of the document as shown in FIG. This data is also stored at the same time for START and END of the range designation buffer as shown in FIG. 4A.

The main control unit 1 activates the text processing unit 4 when the cursor is moved. Text processing unit 4
5, the ATT of the text data storage unit 5 corresponding to the character at the position after cursor movement is set to 1 and the ATT of the text data storage unit 5 corresponding to the character at the position before cursor movement is set to 0. By making a display request to the display unit 3, the character at the cursor position is highlighted on the display unit 3.

The ATT is a character attribute such as underline or an attribute value for display such as inversion.
It is stored corresponding to the Kanji code. Text processing unit 4
Returns the control to the main control unit 1 when the above processing is completed.

As shown in FIG. 5, the text data storage unit 5 is made up of ATT, Kanji code data, meaning number data, phrase data, and link data. A code for representing a character is stored in the kanji code data.

In the area of the meaning number data, meaning numbers are stored corresponding to the clauses or characters. In the phrase data area, data “1” indicating the break of the phrase and data “2, 3, 4 ...
・ "Is stored corresponding to the Kanji code.

[C-2. Regarding processing using meaning,
Start the explanation. In the third embodiment, the description will be broadly divided into two phases, a semantic information addition face and a replacement execution phase. The semantic information addition face is a phase for detecting and storing the semantic information in order to execute the replacement execution phase.

For example, as shown in FIG. 2A, when the selection input key of the input unit 2 is pressed without specifying the range when the cursor is at one character "3" on the character string of the phrase for which the replacement candidate is to be displayed Performs the replacement processing phase after performing the processing of the semantic information addition phase. Also, as shown in FIG. 2A, one character “three” on the character string of the phrase for which the selection input candidate is to be displayed.
When the selection input key is pressed after instructing that the range of the character string is up to the position of FIG. 2B by specifying the range when the cursor is at, the following is performed.

That is, when no semantic information is added to this character string "Sanyo Taro", the replacement execution phase is performed after the processing of the semantic information addition phase is performed. When the semantic information has already been added to this character string "Sanyo Taro", the replacement execution phase is performed.

[C-2-a. The semantic information addition phase will be explained. ] The outline process of this semantic information addition phase,
The following C-2-a-1. The semantic analysis unit 9 uses the semantic dictionary 11 to directly or indirectly detect a semantic label representing a meaning. C-2-a-2. The meaning processing unit 6 converts the meaning label into a meaning number.

C-2-a-3. The meaning number is stored in the text data storage unit 5. [C-2-a-1. The detection of the meaning label will be described. ]
Here, as shown in FIG. 2A, when the cursor is at one character “3” on the character string of the phrase for which the selection input candidate is to be displayed, the meaning information when the selection input key is pressed without specifying the range The addition phase will be described.

When the selection input key is pressed after the range is designated, [C-2-a-5. Detection of other meaning labels] will be described later, and will be omitted here. First, in FIG. 2A, when the cursor is on "three",
When the selection input key is pressed by the input unit 2, the control is transferred to the meaning instruction execution unit 8 together with the value of the range designation buffer in FIG. 4A.

An operation example of the semantic instruction executing section 8 will be described with reference to the flowchart of FIG. In step S2600, it is checked whether or not the character string is designated as a range in FIG. 4A.
Judgment is made by comparing the contents of START and END of the range designation buffer shown in FIG. START and END as shown in FIG. 4A
If the data contents of (1) match, it is determined that the range of the character string is not specified, and the next step S2603 is executed.

In step 2603, based on the START and END data in the range designation buffer shown in FIG. 4A,
The text string shown in FIG. 5 is read via the text processing section 4 from the text data shown in FIG. The character string is read in a range of a predetermined number 30 in front of the START position of the range designation buffer as shown in FIG. In addition, a predetermined number 3 behind the END position of the range designation buffer as shown in FIG. 4A.
It is read in the range of 0 and within the range of not exceeding the row.

Further, spaces at the beginning and end of a line are ignored. As a result, here, the analysis base character string “section manager_Taro Sanyo_den” (“_” represents a space) is obtained.
Also, since the range is not specified by the user, the parsed character string that is the target of meaning is "φ" (φ indicates no data), and the parsed character that is the relative position of the parsed character string to the parsed base character string The row position is “3”.

In the reading of the analytic base character string in this example, the range does not exceed the line, but the range may not exceed the punctuation mark. The above data is set in the analysis base character string, the analysis character string, and the position of the analysis target character string, and the meaning processing unit 6 is activated.

In the semantic processing unit 6, when control is transferred from the semantic instruction execution unit 8, the analysis base character string, the analysis character string, and the data of the analysis target character string position set in the semantic processing unit 6 are sent to the semantic analysis unit 9. Then, the control is transferred to the semantic analysis unit 9.

The operation of the semantic analysis unit 9 will be described. At this time, as shown in FIG. 7, the passed data includes an analysis target character string “φ” (φ indicates no data) and an analysis base character string “section manager_Sanyo Taro_Den” (“_”). Represents a space) and the parsed character string position "3" with respect to the parsed base string.

This analysis processing will be described with reference to the flowcharts of FIGS.

First, in the initial state here, the variable management section (semantic dictionary section) 11 stores data as shown in FIG. 11A in advance. The semantic attribute of the character string data to which the information processing apparatus has previously added the semantic label is “0”,
The other semantic attributes are "1" to distinguish whether the data is prepared by the information processing apparatus. As shown in FIG. 7, the analysis target character string “φ” (φ indicates no data) and the analysis base character string “section manager_Taro Sanyo_Den”
(“_” Represents a space) and the parsed character string position “3” with respect to the parsed base character string is received as input data.

In the first step S2300, the variable management unit 11 is requested to obtain the data of the semantic information in which the semantic label managed by the variable management unit 11 and the semantic attribute are paired. Get all data.

The meaning label is an identifier representing the meaning,
It is character string data. Next, loop processing is performed in steps S2301, S2302, and S2303. This loop processing determines whether or not a matching character string exists in the meaning dictionary (variable management unit) for all the meaning labels.

In this case, the character string to be analyzed is "φ" (φ
Indicates that there is no data.)
It is not in the semantic dictionary, and the process goes to step S2400. In step S2400, the variable management unit 1 is used as in S2300.
The variable management unit 11 is requested to obtain the data of the semantic information in which the semantic label and the semantic attribute managed by 1 are obtained.
As shown in FIG. 12B, all data of semantic information is obtained.

In step S2401, null data "0" is set in the candidate table as initialization of the candidate table shown in FIG. In step S2402, it is determined whether the following processing has been performed on all the data of the semantic information obtained in step S2400. When the processing of all the data of the semantic information is completed, the process proceeds to step S2408.

A step S2403 sets an initial value "0" to the search start position KBi of the analysis base character string. In step S2404, if the search start position of the analysis base character string is the end position of the analysis base character string, step S2404.
Move to 2402. Otherwise, the process moves to step S2405.

In step S2405, the KBi-th character string of the analysis base character string, if KBi = 0, then "section manager_
Taro Sanyo_ ”, when KBi = 1,“ Cho_Taro Sanyo_ ”
Character string matching with the meaning data of the variable management unit 11 (“_” represents a space). The matching in this case is determined to be a match if the character string data of the semantic data is included in the analysis base character string from the KBith.

In step S2406, step S24
As a result of the matching in 05, it is determined whether there is matching data. If there is data, step S24
09, if there is no matching data, step S240
Move to 7. In step S2409, the matching meaning data is written in the candidate table.

When the variable management unit 11 has the semantic data as shown in FIG. 11A, and KBi = 0, the semantic label “title”, and the semantic attribute “0”, the matching data “section manager” is found by the matching in step S2405, Step S240
After 6, the process moves to step S2409. In this case,
As shown in FIG. 4A, the head position 0 of the matching character string “section chief” with respect to the analysis base character string is stored in the FROM.

The next character position 2 of the matching character string "section chief" with respect to the analysis base character string is stored in NEXT. "Title" for the meaning label, "0" for the meaning attribute, STATUS
“0” is stored in S. If the data is stored in the candidate table, the process proceeds to step S2407. Step S240
In step 7, "1" is added to the search start position KBi of the analysis base character string, and the process proceeds to step S2404.

When all the searches are completed, the candidate table becomes as shown in FIG.

In step S2408, numerical processing is performed. The process of storing the numerical character string appearing in the analysis base character string in the candidate table is performed. For example, when the analysis base character string is "12th", the tens digit "1" and the ones digit "2" are concatenated, and the meaning label "numerical value" and the meaning attribute "0" are obtained as one candidate. ", And stored in the candidate table (FROM: 1, NEXT: 3, semantic label: numerical value,
Semantic attribute: 0 and STATUS: 0 are stored).

In step S2410, the virtual candidate is stored in the candidate table. A virtual candidate is a candidate that can be estimated in relation to the preceding and following candidates. For example, when the meaning label of the character string “section chief” is “title” and the meaning label of the character string “don” is “honorific title” as shown in FIG. 15, spaces between the character strings corresponding to the two meaning labels are excluded. String "Taro Sanyo"
The meaning label of can be inferred to be "name".

Then, "name" is stored in the candidate table as a meaning label of the character string "Sanyo Taro".

FIG. 16 shows what is stored. In the case of a virtual candidate, 1 is stored in the corresponding STATUS of the candidate table. At this time, if the character string between the meaning labels is within 2 phrases except the space by using the phrase information managed together with the Kanji code as the text data storage unit 5, for example, the break information of the phrase, it is more accurate. Virtual candidates can be set.

When the storage is completed, step S25 in FIG.
Move to 00. In step S2500, the semantic data to be output is determined based on the candidate table. Score points according to the validity of the semantic data. here,
The candidate closest to the parsed character string position is output as the most appropriate one.

Further, the following items can be considered as items for evaluating the validity. Semantic attribute is "0"
The semantic attribute "1" (data directly or indirectly stored by the user) is prioritized over (data prepared by the system from the beginning). Alternatively, if scores between candidates, meaning labels "name" and "honorific title" are consecutive or separated by spaces, priority is given to the candidate corresponding to the meaning label "name" and "honorific title". To

Alternatively, the longer candidate character string has priority. In step S2501, step S25
The candidates prioritized with 00 are sequentially stored in the output buffer, and control is returned from the semantic analysis processing unit 9 to the semantic processing unit 6.
In this case, as shown in FIG. 17, the starting point of the character string for the analysis base character string is 3, the next position of the ending character is NEXT: 7, and the meaning label "name" is output.

[C-2-a-2. The conversion of the meaning label to the meaning number is explained. When the control returns from the meaning analysis unit 9, the meaning processing unit 6 determines that among the output data of the meaning analysis unit 9 shown in FIG. 7. The following processing is performed for the meaning label “name”. First, in order to convert the meaning label, which is the character string information generated by the meaning analysis unit 9, into the meaning number of the numerical data, the meaning information management unit 7 is activated.

In the meaning information management unit 7, the meaning character string information "name" received from the meaning processing unit is added to the meaning information management unit 7.
The matching processing is performed with the meaning label of the meaning information management table shown in FIG. When they match, the meaning number corresponding to the meaning label stored in the meaning information management table is output to the meaning processing unit 6.

When no matching is performed, FIG. 18B is used.
As shown in, the meaning information management table stores the meaning label “name” and the meaning number “100” in association with each other. As the meaning number at this time, a value that has not been used in the meaning information management table is used. When the meaning label and the meaning number are stored in association with each other, the stored meaning number “100” is output to the meaning processing unit 6.

[C-2-a-3. The meaning number will be stored in the text data storage unit 5. ] Meaning processing section 6
Means the meaning number “10” output from the meaning information management unit 7.
When “0” is obtained, FR indicating the range of the meaning-added character string with respect to the semantic analysis base character string of the output data shown in FIG.
The OM “3”, the NEXT “7”, and the meaning number “100” are output to the meaning instruction executing unit 8, and the control returns to the meaning instruction executing unit 8.

The continuation of the operation example of the semantic instruction execution unit 8 will be described with reference to the flowchart of FIG.

In step S2604, the meaning number and the position information of the target character string obtained from the meaning processing unit 6 are written in the position corresponding to the character string in the text data storage unit 5. At this time, it is necessary to calculate the data indicating the position on the text from the relative position with respect to the semantic analysis base character string. FIG.
START column “5” of the range specification buffer shown in A
Is a column position on the text of the first character "section" of the analysis base character string, which is obtained by subtracting the analysis target character string position "3" shown in FIG.

Since the position of the analysis base character string of the target character string "Sanyo Taro" is "3" to "6" this time,
The position of this character string "Taro Sanyo" on the text is 4 lines 5
It can be calculated as 4 columns to 8 columns. As described above, the meaning number “100” obtained from the meaning processing unit 6 and the position information of the target character string are START: 4 rows and 5 columns,
END: When 4 rows and 8 columns are obtained, the text processing unit 4
Via the text data storage unit 5, as shown in FIG. 19A, the ATT corresponding to the target character string “Sanyo Taro”
"1" indicating reverse display is stored, and "100" is stored in the meaning number corresponding to the target character string.

When the text processing unit 4 finishes storing the data, it makes a display request to the display unit 6, displays the text data storage unit 5 as shown in FIG. 20, and then controls the meaning instruction execution unit 8 Return to.

The semantic instruction executing section 8 stores the beginning position 4 rows 5 columns and the final position 4 rows 8 columns of the character string obtained by performing the semantic analysis in the range designation buffer as shown in FIG. 4B.

[C-2-a-4. The frequency information will be described. ] Further, the semantic command execution unit 8 sets the target character string "Sanyo Taro" and the meaning character string "name" to the variable management unit 1
1 to instruct registration and transfer control to the variable management unit 11. As shown in FIG. 21, the variable management unit 11 manages data and frequency information for each meaning. Semantic data management unit 1
Registration of data No. 1 will be described.

The variable management section 11 searches for the character string "name" having the designated meaning, and if not found, newly secures a data buffer and sets the given data.

FIG. 21 shows a state in which "name" is registered as meaning, "Taro Sanyo" is registered as data, and "1" is registered as frequency information. Here, the character string "name" of the specified meaning
, The given data “Sanyo Taro”,
Search whether it exists in the buffer. If the data exists in the buffer, the frequency information is updated, and if the updated frequency information exceeds the upper frequency information in the buffer, the data is replaced according to the frequency information.

When "Name" is registered as the meaning character string and "Tanaka Hanako" is registered in the data as shown in FIG. 22, since "Tanaka Hanako" already exists in the buffer, only the frequency information is updated. (FIG. 23A). Here, although the frequency information is "9", the data of "Sanyo Taro" above is "10", and therefore the data is not replaced. If the frequency information of "Tanaka Hanako" exceeds "10" after updating,
The data of "Taro Sanyo" and "Hanako Yamada" are exchanged.

That is, it is set at the highest position in the same frequency information. Further, although the character string “name” having the given meaning exists, if the data does not exist in the buffer, the data is set according to the frequency information. At this time, if the buffer is all used, the least frequently used data in the buffer (if there is more than one, the least recently used) is deleted and new data is set.

In the state of FIG. 23A, the meaning is “name”,
When "Hijita Hikita" is sent as data, since all the buffers are used, "Daisuke Okamura" is deleted and the data of "Hideji Hikita" is replaced with the same frequency information "1" as shown in FIG. 23B. Set it at the beginning of the data you have. As described above, the variable management unit 11 performs the registration process of the given data and returns the control to the semantic instruction execution unit 8.

Further, the semantic instruction executing section 8 returns the control to the main control section 1. The above is the semantic information addition phase. The main control unit 1 subsequently performs the process of the replacement execution phase.

[C-2-a-5. Detection of Other Semantic Label] An additional description of the semantic information addition phase will be given. That is,
The semantic information addition phase of the range-specified character string is explained. When the range specification key is pressed on the input device,
Within the main control unit 1, range designation processing is performed.

First, in FIG. 2A, the cursor is "three".
When the range designation key is pressed while it is above, the current value of the cursor position buffer (4 rows, 5 columns) is first stored in START of the range designation buffer as shown in FIG. 4A.

Subsequently, the cursor movement instruction key is operated by the input unit 2 to move the cursor to the position "ro" as shown in FIG. 2B, and when the execute key is pressed here, the current cursor position buffer value is displayed. (4 rows and 8 columns) is stored in END of the range designation buffer as shown in FIG. 4B. At this time, the text processing unit 4 sets all the ATTs of the character strings corresponding to the positions START to END of the range designation buffer to 1 and makes a display request to the display unit 6 to display the range-designated characters as shown in FIG. Reverse columns.

Further, when the selection input key is pressed by the input unit 2, the main control unit 1 transfers the control to the semantic instruction execution unit 8 together with the value of the range designation buffer of FIG. 4B. The operation of the semantic instruction execution unit 8 will be described based on the flowcharts of FIGS. In step S2600 of FIG. 6, it is checked whether or not the character string is designated as a range in FIG. 4B.
Judgment is made by comparing the contents of START and END of the range designation buffer shown in FIG. If the data contents of START and END do not match as shown in FIG. 4B, it is determined that the range of the character string has been designated, and the next step S2601 is executed.
In step 2601, the meaning number corresponding to the character string whose range is specified is obtained from the text data via the text processing unit 4.

At this time, as shown in FIG. 19B, when there is no meaning number corresponding to the character string whose range is designated, the processing of step 2603 (the processing of FIGS. 8 to 9) is performed to obtain the meaning number. In the process of this semantic analysis, as shown in FIG.
After the process of step S2300 of step S230
1, loop processing is performed in steps S2302 and S2303.

In this loop, it is detected whether or not there is a matching character in the meaning dictionary for all the meaning labels, and if there is no character, step S24 in FIG. 9 is performed as described above.
Move to 00.

In step S2302 of FIG. 8, data such as the meaning label “title”, the meaning attribute “0”, and the search character string “Taro Sanyo” are designated to request the variable management unit 11 for the search. In the search here, status 0 is set if the character string of the semantic data and the search character string are completely identical, and status 1 is set otherwise.

In step S2303, it is determined whether or not this status is 0, that is, whether there is completely matching data, and if there is completely matching data, step S23.
Move to 04. If there is no complete match data, the process returns to step S2301. Step S2301, Step S
As a result of performing the loop processing in 2302 and step S2303, if none of the semantic data completely match, the process proceeds to step S2400 in FIG.

If there is semantic data that completely matches, S2
Set to output buffer as shown at 306. After that, the process returns to S2603 in FIG. 6 and the meaning number is registered in S2604. Incidentally, S2304 and S2305 of FIG.
Defines the meaning attribute of the used meaning as "1" and "used: possibility of reuse".

[C-2-b. The replacement execution phase will be explained. A description will be given based on the flowcharts of FIGS. 6 and 25. When the meaning number "100" is obtained in step 2601, the meaning number "100" is obtained in the next step S2602.
In order to convert the character string code into the character string code, the semantic information management unit 7 is activated.

In the meaning information management unit 7, the meaning number "10"
0 ”and the meaning number of the meaning information management table shown in FIG. 18B in the meaning information management unit 7 are matched, and the meaning label“ name ”corresponding to the meaning number is output to the meaning instruction execution unit 8.

In step S2701 of FIG. 25, the variable management unit 11 is activated to obtain all the data of that meaning.
The meaning character string “name” and the address of the output buffer are sent to the variable management unit 11. The variable management unit 11 manages data and frequency information for each meaning, as shown in FIG.

FIG. 21 shows a state in which "name" is registered as meaning, "Sanyo Taro" is registered in the buffer as data, and "1" is registered as frequency information thereof. In addition, FIG.
The above-mentioned "name" data indicates a state in which all the data is registered in the buffer. The variable management unit 11 searches the content of the meaning, checks whether the sent character string “name” is registered, and sets the content of the found data buffer of the meaning in the output buffer.

When the “name” is sent as the meaning, the variable management section 11 has meaning data of “name” in the case of FIG. 23B, so that “Taro Sanyo” to “Yuhiko Tanabe” exists in the output buffer. 24, all the contents of the data are set in the output buffer as shown in FIG.
Return to. Next, in step S2702, the semantic instruction execution unit 8 sends the data set in the output buffer by the variable management unit 11 to the list display processing unit 10 to display a list of data.

As shown in FIG. 26, the list display processing section 10 has a data display field 5-1, an input field 5-2, and
A menu consisting of a database name list button 3 and a button is displayed. The user can also input data from the input field 5-2 if there is no desired candidate in the data displayed in the data display field.

When the data in the data display column 5-1 in the displayed menu is selected, the list display processing unit 10
The selected data is set in the given buffer and the status indicating that the data is selected from the list display data is set. Further, at this time, if the data is input in the input field 5-2, the list display processing unit 10 sets the data input in the input field in a given buffer and inputs the data in the input field. Set the status indicating that it was done.

Further, a database name list button 5-3 of 5-3
When -3 is selected, the database name list button sets the status indicating that it has been selected. Next, the list display processing unit 10 returns control to the meaning instruction execution unit 8 together with the status set here. Next, in step S2703, the meaning command execution unit 8 determines the status set by the list display processing unit 10.

Whether the data in the data display field 5-1 is selected, the data is input in the input field 5-2, or the database name list button 5-3 is selected in the list display processing unit 10. to decide. If the list data is selected or the data is input, the process proceeds to step S2710, and if the database name list button is selected, the process proceeds to step S2704.

Next, in step S2704, the semantic instruction execution unit 8 sends the database processing unit 12 the character string "name" of the meaning output in step S2701 and the address of the output buffer, and the specified meaning. Instructing to search the database name having the character string “name” of, the control is transferred to the database processing unit 12. Database processing unit 1
2, the semantic information management table and the actual data of FIG. 28 are managed as shown in FIG. 27 for each database (card).

Here, the database name in FIG. 29 is a name uniquely given to each created card and identifies the database. In addition, the condition is a calculation formula defined in the field (subtotal = unit price x number, etc.),
The hierarchy represents the level information of the database. As is well known, the actual data in FIG. 28 is managed for each case (record). The meaning search in the database processing unit 12 is
26. All the files in the database of the management table in the meaning of FIG. 26 are searched for the character string "name" of the given meaning.

The database processing unit 12 sets the found database file name in the output buffer and returns the control to the semantic instruction execution unit 8. Next, in step S2705 of FIG. 25, if the obtained database file names are two or more, the semantic instruction execution unit 8 gives the data set in the output buffer to the list display processing unit 10 to display the data. The selection display is instructed and the control is performed by the list display processing unit 10
Move to.

If only one database file name is obtained as a result of the search, step S270
Skip to 6.

When the obtained database file names are two or more, the list display processing section 10 displays a list of given database names as shown in FIG. The list processing unit 10 waits for selection input from the user. In FIG. 29, it is shown that "customer list" has been selected.

In the list processing section 10, the selected "customer name list" is set in the output buffer, and the meaning instruction execution section 8 is set.
Return control to In the next step S2706, the meaning command execution unit 8 instructs the database processing unit 12 to select the selected database name "customer list" and the meaning character string "name".
And the address of the output buffer are sent, and all data of the specified "name" of the database name "customer list" is obtained.

The database processing unit 12 searches for data having the given database name and meaning, and sets all the data in the output buffer. Next step S27
In 07, the semantic instruction execution unit 8 is the database processing unit 1
The data set in the output buffer in 2 is sent to the list display processing unit 10, the data display and selection processing are instructed, and the control is transferred to the list display processing unit 10.

The list processing section 10 waits for selection input from the user. FIG. 30 is a diagram showing a list of data of “customer name” having the meaning of “name” in the file name of “customer management”, and here shows that “Kenichi Takemoto” has been selected. The list display processing unit 10 sets the selected “Kenichi Takemoto” in the output buffer, and the meaning instruction execution unit 8
Return control to

In the next step S2708, the semantic command execution unit 8 sends the character string “name” meaning “Takemoto Kenichi” set in the list display processing unit 10 to the variable management unit 11,
The variable management unit 11 registers the given character string “name” and data “Kenichi Takemoto” in the buffer. In the next step S2709, the semantic instruction execution section 8 executes step S2.
The database name “customer management” obtained in 705 is sent to the link data processing unit 14, the link data processing unit 14 is instructed to register, and the control is transferred to the link data processing unit 14.

The link data processing unit 14 stores the given database name “customer management” in the management table of FIG. 31, sets the link number, and returns the control to the semantic command execution unit 8. The semantic command execution unit 8 instructs the text processing unit 4 to register the obtained link number.

In next step S2710, the semantic instruction execution unit 8 sets the obtained replacement character string “Kenichi Takemoto” and the position information of the target character string to the starting position 4 rows and 5 columns and the ending position 4 rows and 8 columns. Based on this, the character string “Sanyo Taro” of the position information of the target character string is deleted through the text processing unit 4, and the replacement character string “Kenichi Takemoto” is inserted at the same position.

When the replacement character string "Kenichi Takemoto" is replaced with "Taro Sanyo", the text data storage unit 5 of FIG. 5 is changed as shown in FIG. A display request is made on the display unit 6, and the display is made as shown in FIG. [C-2-c. The skip processing to the database will be described. ] Next, the skip of the process using the link information registered in step S2709 will be described.

First of all, prior to step S2701, the meaning command executing section 8 applies to the range-specified character string data.
It is checked whether the link number is registered. If the link number is not registered, the process is continued. If the link number is registered, the meaning command execution unit 8 skips the processes of S2702 to S2705, and the registered link is registered. The number is sent to the link data processing unit 14 to obtain the database file name.

Next, the meaning command executing unit 8 sends the database file name "customer management" and the meaning character string "name" to the database processing unit 12, and the processes from step S2706 onward are performed.

[C-2-d. The process of changing the meaning will be described. ] Next, the change of the semantic information set in the character string will be described for the case where the text data storage unit 5 is as shown in FIG. 32 as a result of being selected and input as shown in FIG.

The main control section 1 moves the cursor in response to the input of the cursor movement key from the input section 2. Here, the cursor is moved to the first character position "Take" of the character string "Kenichi Takemoto" whose semantic information is to be changed. As a result, "4 rows and 5 columns" are stored in the cursor position buffer.
When a semantic information change key (not shown) is operated from the input unit 2, the main control unit 1 causes the text processing unit 4 to
Based on the clause data in the text data storage unit 5, the kanji code “Kenichi Takemoto” and the meaning number “100” are read out, and the control is transferred to the meaning instruction execution unit 8.

The semantic instruction executing section 8 transfers control to the semantic processing section 6 together with the received data. In the meaning processing unit 6,
The meaning number “100” is sent to the meaning information management unit to obtain the meaning character string “name”. This character string is sent to the display unit 3 and displayed. The user changes the displayed character string "name" to "boss name". The changing method is the same as the text processing in an information processing device such as a Japanese word processor.

When the change end key is input from the input unit 2, the meaning processing unit 6 causes the character string "Kenichi Takemoto", the character string "name" having the meaning before the change, and the character string "boss" having the meaning after the change. "Name" is sent to the variable management unit 11 to instruct to change the data. The variable management unit 11 uses the sent character string “name”
If it is found, "Kenichi Takemoto" is searched from the data buffer, and if found, the data is deleted.

Next, the variable management unit 11 newly registers the character string "boss name" having a new meaning and the character string "Kenichi Takemoto". In addition, as a result of the above search, if the sent character string "name" is not found, the variable management unit 11 simply registers the new meaning character string "boss name" and the character string "Kenichi Takemoto". is there.

When the variable management unit 11 finishes changing the data in the variable management unit, the control returns to the meaning processing unit 6.
In the meaning processing unit 6, the changed character string "boss name"
Is sent to the meaning information management unit 7 to obtain the meaning number “110”. With this meaning number “110”, control is returned to the meaning processing unit 6 and the meaning instruction execution unit 8.

The meaning instruction executing section 8 determines the meaning number "11".
"0" is stored in the text data storage unit 5 corresponding to the character string "Kenichi Takemoto" via the text processing unit 4. When the storage is completed, the control is returned to the main control unit 1. In this embodiment, the process of registering the meaning in the character string in which the text exists and replacing it with the data managed by the variable management unit 11 or the data having the same meaning in the database managed by the database process 12 has been described. In the data input process in a general database, by having meaning as item information, the data of each item in the database can be selected and used by the same operation as in the above embodiment.

[D. An application example of the present application will be described. ]
In the above embodiment, the replacement process using the meaning has been described.
Of course, it can also be used when inserting a character string having the same meaning. It can also be used when searching for character strings having the same meaning. Further, the present application can of course be implemented as software by a program.

Further, in the present application, the meaning of the data is stored in the text data storage unit 5 as the meaning number which is the number data, but the meaning label may be stored as it is. However, storing with a semantic number is easier when considering processing such as change.

[0136]

According to the present invention, the semantic information of data is
Since the data is stored in correspondence with this data, it is possible to easily obtain the semantic information when the semantic information of this data is reused.

[Brief description of drawings]

FIG. 1 is a schematic functional block diagram of an information processing apparatus according to a third embodiment of the present invention.

FIG. 2 is a diagram for explaining a screen state of the third embodiment.

FIG. 3 is a diagram for explaining a cursor position buffer of a main controller of the third embodiment.

FIG. 4 is a diagram illustrating a range designation buffer of a main control unit according to the third embodiment.

FIG. 5 is a diagram illustrating text data according to a third embodiment.

FIG. 6 is a flowchart for explaining an operation example of a semantic instruction replacement executing unit according to the third exemplary embodiment.

FIG. 7 is a diagram for explaining the operation of the semantic analysis processing unit of the third embodiment.

FIG. 8 is a flowchart for explaining the operation of the semantic analysis processing unit of the third embodiment.

FIG. 9 is a flowchart for explaining the operation of the semantic analysis processing unit of the third embodiment.

FIG. 10 is a flowchart for explaining the operation of the semantic analysis processing unit of the third embodiment.

FIG. 11 is a diagram illustrating a semantic dictionary of a semantic analysis processing unit according to the third embodiment.

FIG. 12 is a diagram illustrating a semantic information list of a semantic analysis processing unit according to the third embodiment.

FIG. 13 is a diagram illustrating a candidate table of a semantic analysis processing unit according to the third embodiment.

FIG. 14 is a diagram illustrating a candidate table of a semantic analysis processing unit according to the third embodiment.

FIG. 15 is a diagram illustrating a candidate table of a semantic analysis processing unit according to the third embodiment.

FIG. 16 is a diagram illustrating a candidate table of a semantic analysis processing unit according to the third embodiment.

FIG. 17 is a diagram for explaining an output buffer of the semantic analysis processing unit of the third embodiment.

FIG. 18 is a diagram illustrating a semantic information management table of a semantic information management unit according to the third embodiment.

FIG. 19 is a diagram for explaining the text data of the third embodiment.

FIG. 20 is a diagram for explaining a screen state of the third embodiment.

FIG. 21 is a diagram illustrating a management buffer of a variable management unit according to the third embodiment.

FIG. 22 is a diagram illustrating a management buffer of a variable management unit according to the third embodiment.

FIG. 23 is a diagram for explaining the management buffer of the variable management unit of the third embodiment.

FIG. 24 is a diagram illustrating a management buffer of a variable management unit according to the third embodiment.

FIG. 25 is a flow chart for explaining an operation example of a semantic instruction replacement execution unit of the third exemplary embodiment.

FIG. 26 is a diagram for explaining the screen state of the third embodiment.

FIG. 27 is a diagram for explaining the meaning-imparting situation of the database of the third embodiment.

FIG. 28 is a diagram for explaining data in the database storage unit of the third embodiment.

FIG. 29 is a diagram for explaining the screen state of the third embodiment.

FIG. 30 is a diagram for explaining the screen state of the third embodiment.

FIG. 31 is a diagram illustrating a management table of a link data processing unit according to the third embodiment.

FIG. 32 is a diagram for explaining text data of the third embodiment.

FIG. 33 is a diagram for explaining a screen state of the third embodiment.

FIG. 34 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 35 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 36 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 37 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 38 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 39 is a diagram for explaining a schematic operation of the first embodiment.

FIG. 40 is a diagram for explaining a schematic operation of the second embodiment.

FIG. 41 is a diagram for explaining a schematic operation of the second embodiment.

FIG. 42 is a diagram for explaining a schematic operation of the second embodiment.

FIG. 43 is a diagram for explaining a schematic operation of the second embodiment.

FIG. 44 is a diagram for explaining a schematic operation of the second embodiment.

[Explanation of symbols]

 (1) Main control section, (2) Input section, (3) Display section, (4) Text processing section, (5) Text data storage section (data storage means), (6) Meaning processing section, (7) Meaning Information management unit, (8) Semantic instruction execution unit (semantic life executing means), (9) Semantic analysis unit (semantic information analysis means), (10) List display processing unit, (11) Variable management unit (semantic dictionary), (12) Database processing unit, (13) Database data storage unit, (14) Link data processing unit.

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁶ Identification code Internal reference number FI Technical display location G06F 17/21 9288-5L G06F 15/20 554 Z 9288-5L 564 E (72) Inventor Tetsuo Takeyama 2-5-5 Keihan Hondori, Moriguchi City, Osaka Sanyo Electric Co., Ltd. (72) Inventor Takashi Kasai 2-5-5 Keihan Hondori, Moriguchi City, Osaka Sanyo Electric Co., Ltd. (72) Invention Kimio Nagasawa 2-5-5 Keihan Hondori, Moriguchi City, Osaka Prefecture Sanyo Electric Co., Ltd.

Claims (6)

[Claims] 1. An information processing apparatus for editing data such as character strings, graphics, images, etc., wherein data storage means for storing and holding the semantic information indicating the meaning / role of the data and the data in association with each other. An information processing device comprising 5). 2. The information processing apparatus according to claim 1, further comprising a semantic information editing unit (6) for substantially modifying the semantic information stored in the data storage unit (5). 3. An information processing apparatus for editing data such as a character string, a figure, an image, etc., a data storage means (5) for storing and holding the semantic information indicating the meaning / role of the data in association with the data. And when executing a function for editing with respect to the data stored in the data storage means (5), using the semantic information corresponding to this data, a semantic instruction execution means ( 8) An information processing device comprising: 4. The meaning of data such as character strings, figures, images, etc.
When the semantic information analysis unit (9) for detecting the semantic information indicating the role is provided and the semantic information corresponding to the data is not stored, the semantic information analysis unit (9) detects the semantic information, The information processing apparatus according to claim 3, wherein the detected semantic information is stored in the data storage means (5) in correspondence with the data. 5. The information processing apparatus according to claim 3, wherein the meaning command executing means (8) displays data having the same meaning as the data using the meaning information. 6. The information processing apparatus according to claim 5, wherein the selected data selected from the displayed data is replaced with the data.