JPH1153360A - Device and method for data conversion and medium for recording data conversion program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data conversion device for using a data conversion processing on the basis of a conversion rule and a data conversion processing on the basis of analogy jointly. SOLUTION: A conversion processing of a character string on the basis of a predetermined conversion rule is executed by a conversion rule storage means 1 for storing the conversion rule, an input means 2 with which a user describes a desired conversion rule and a character string conversion processing means for converting character string data. Also, a comparison of the character string is performed between an analogy means 4 provided with a collating data storage part 4a and an analogy conversion processing part 4b and two tables stored in a database 6 and a conversion processing by an analogy is executed by a collating data retrieval means 5 for outputting to the analogy means 4a combination of the largest degree of similarity as the collating data.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a data conversion device and a data conversion method for converting a large number of character strings.

[0002]

2. Description of the Related Art A set of character string data is used for various applications, and each is processed as desired. When character string data is handled by different applications as described above, it may be necessary to convert the character strings into a character string of a system required by each application.

For example, a company A that creates a program for a control device for controlling a fluid has product codes “FC-1128”, “BC-1001”, and “AC-0” sold by a company B.
It is assumed that the device of “001” is identified on the program.
Further, in the control device of Company A, it is assumed that the identification code of the device to be controlled must be represented by “one letter of an alphabet + a number”. In this case, the programmer of Company A must convert the identification code of the device to be controlled into a system that can be read by the control device of Company A. Examples of the value that can be used to identify a device in a predetermined system include “F1128”, “B1001”, and “A0001”.
Is a candidate.

As described above, as a method of converting given character string data into character string data of a desired system, a user describes a conversion rule in advance, and converts given character string data according to the conversion rule. There is a way to do that. As this conversion rule, for example, there is a rule that is described using a regular expression that expresses a pattern for replacing a character string. In this case, an input GUI that is easy to describe is generally provided for a user who is not familiar with the program.

[0005]

However, in the conventional data conversion method as described above, it is very difficult for the user to examine a character string and create all conversion rules when the data amount is large. Yes, and at a huge cost.

[0006] On the other hand, in recent years, research has been conducted on a mechanism of analogy that is performed by a human for a certain problem.
One such analogy system is Melanie Mitche
Copycat ("Analogy-Making as Percept" proposed by ll et al.
ion: A Computer Model ", Melanie Mitchell.
This Copycat is an inference system based on the character string replacement problem. Hereinafter, the outline will be described.

That is, the purpose of Copycat is not to give a correct answer to a given problem, but to model how humans perceive a given problem. Copycat is Slipnet, Workspa
ce, Coderack, temperature
Is a semantic net corresponding to characters, which corresponds to long-term memory.
Workspace is equivalent to short-term memory, where the representation for a given string is created. This representation is a perceptual age called codelet that detects simple features and structures.
It is created by invoking many nts. This codele
t is randomly placed in the Coderack, but codelets related to the concept or structure that the system is currently focusing on are placed in Coderack in a relatively large number, so the probability of being selected is high. . Then, the randomness of the codelet selection is controlled by the temperature, and the temperature is lowered as the representation is formed, so that the solution converges.

The inventors pay attention to such an inference system, perform analogy by using a character string on a data set already stored as a sample, and convert the character string according to the analogy result, thereby reducing the load on the user. In order to develop a data conversion method that can reduce this, we have made intensive studies.

The present invention has been proposed to solve the above-mentioned problems of the prior art, and an object of the present invention is to use both data conversion processing based on conversion rules and data conversion processing based on analogy. Accordingly, an object of the present invention is to provide a data conversion device, a data conversion method, and a medium on which a data conversion program is recorded, which can greatly reduce the load of conversion rule registration.

[0010]

According to a first aspect of the present invention, there is provided a data conversion apparatus for converting a first data into a second data. Means for converting one data into second data, and means for converting the first data into second data based on a combination among a plurality of specific data. .

According to a sixth aspect of the present invention, there is provided a data conversion method for converting the first data into the second data. Converts the first data to the second based on the conversion rule.
And a step of converting the first data into the second data based on a combination between a plurality of specific data.

According to the data conversion apparatus according to the first aspect and the data conversion method according to the sixth aspect, the data to be converted is converted into a desired data using a predetermined conversion rule. Not only can it be converted to data of the system, but it is also possible to perform an analogy using the already stored data before and after the conversion as an example, and perform the data conversion process based on this analogy. Data conversion becomes possible without construction.

According to a second aspect of the present invention, in a data conversion device for converting first data into second data, a storage unit for storing a conversion rule and a unit for registering the conversion rule in the conversion rule storage unit. Data conversion processing means for converting the first data into second data according to the conversion rule; analogy means for converting the first data into second data by analogy; Means for providing collation data, which is a combination between the above data.

According to a seventh aspect of the present invention, there is provided a data conversion method for converting the first data into the second data. A process of storing a conversion rule, a process of registering the conversion rule, a process of converting the first data to the second data according to the conversion rule, and converting the first data to the second data by analogy. It is characterized by including analogy processing for conversion and processing for providing collation data which is a combination between a plurality of specific data in the analogy processing.

According to the data conversion apparatus according to the second aspect and the data conversion method according to the seventh aspect, the data to be converted is converted in accordance with the conversion rules registered and stored by the user. Not only can be converted to data of a desired system, but also by analogy based on collation data that is a combination of already stored conversion source data and conversion destination data, and perform data conversion processing by this analogy Therefore, the data can be converted without the user having to construct all the conversion rules.

According to a third aspect of the present invention, in the data conversion apparatus according to the first or second aspect, an evaluation means for evaluating whether the converted data is appropriate is provided. The invention according to claim 8 is an aspect in which the invention according to claim 3 is grasped from the viewpoint of a method, and in the data conversion method according to claim 6 or 7, the converted data is It is characterized by including an evaluation process for evaluating propriety. According to the data conversion device of the third aspect and the data conversion method of the eighth aspect having the above-described configuration, by providing the conversion evaluation function, when there is a defect in the data conversion result, Since you can show the user the problem and its cause,
It is possible to reduce errors caused by automatic conversion of data based on conversion rules or analogies, and the load of debugging due to the errors.

According to a fourth aspect of the present invention, in the data conversion device according to the second aspect, the analogy means includes a collation data storage unit for storing the collation data, and an analogy conversion processing unit for converting data by analogy. It is characterized by having. According to a ninth aspect of the present invention, the invention of the fourth aspect is grasped from the viewpoint of a method. In the data conversion method according to the seventh aspect, the analogy processing includes converting the collation data. It is characterized by including a collation data storing step of storing and an analogy conversion processing step of converting data by analogy. According to the data conversion device according to the fourth aspect and the data conversion method according to the ninth aspect having the above configuration, the analog inference means is provided with the collation data storage unit for storing the collation data. It is not necessary to search for the collation data every time, so the analogy conversion processing based on this collation data can be executed efficiently.

According to a fifth aspect of the present invention, in the data conversion device according to the second aspect, the means for providing the collation data to the analogization means compares the set of the conversion source data with the set of the conversion destination data to perform the conversion. It is a collation data search means for searching for a combination expected to be original data and conversion destination data. According to a tenth aspect of the present invention, there is provided a data conversion method according to the seventh aspect, wherein matching data is provided at the time of the analogy processing. Is a collation data search process for comparing a set of conversion source data and a set of conversion destination data to search for a combination expected to be the conversion source data and the conversion destination data. According to the data conversion device of the fifth aspect and the data conversion method of the tenth aspect having the above configuration, the set of the conversion source data and the set of the conversion destination data are compared, and Since an optimum combination that is expected to be the conversion destination data can be searched for and provided to the analogization means as collation data, more accurate analogization processing is executed.

An invention according to claim 11 is a recording medium on which a data conversion program for performing data conversion by a computer is recorded, wherein when data is converted into data of a desired system, the data is converted based on a conversion rule. Is converted, and the data is converted by analogy based on a combination sample of the conversion source data and the conversion destination data.

According to a twelfth aspect of the present invention, there is provided a recording medium storing a data conversion program for performing data conversion by a computer, wherein a conversion rule is stored when certain data is converted into data of a desired system. Let
The data is converted according to the conversion rule, the data is converted by analogy, and when the data is converted by analogy, collation data, which is a combination of the data of the conversion source and the data of the conversion destination, is provided. Things.

According to the recording medium storing the data conversion program according to the present invention, the data conversion processing based on the conversion rule and the data conversion processing based on the analogy are executed. Can be easily provided to the user.

[0022]

BRIEF DESCRIPTION OF THE DRAWINGS FIG.
This will be specifically described with reference to FIG.

[1. Configuration] FIG. 1 is a block diagram showing a configuration of one embodiment of the present invention. That is, the data conversion device of the present embodiment is provided with the conversion rule storage unit 1 that stores a conversion rule for converting a given character string into a desired character string. An input unit 2 is connected to the conversion rule storage unit 1, and a user can describe a desired conversion rule using the input unit 2 and store the conversion rule in the conversion rule storage unit 1. It is configured as follows. The conversion rule describes a search pattern, a character to be replaced, and a transfer character, for example, as shown in FIG. FIG. 3 shows an example of a GUI for inputting a conversion rule using the input means 2.

Further, the data converter of the present embodiment includes:
A character string conversion processing means 3 for selecting a conversion rule to be applied from the conversion rules stored in the conversion rule storage means 1 and converting given character string data according to the priority assigned to the conversion rule. Is provided.

The conversion rule storing means 1, the input means 2, and the character string conversion processing means 3 execute a character string conversion process based on a predetermined conversion rule.

Next, means for converting a character string by analogy will be described. That is, the data conversion device of the present embodiment is provided with the analogy inference means 4 including the collation data storage unit 4a and the analogy conversion processing unit 4b. The analogy means 4
Is to input a combination of a conversion-source character string and a conversion-destination character string that have already been converted, perform an analogy based on the combination, and convert the given character string. The input means 2 is connected to the analogization means 4 so that a user can input a combination (collation data) of a character string of a conversion source and a character string of a conversion destination. FIG. 4 shows an example of a GUI for inputting collation data using the input means 2.

A database 6 is connected to the analogy inference means 4 via a collation data search means 5.
The collation data search means 5 compares the character strings between the two tables stored in the database 6, calculates the similarity between them, and uses the combination having the largest similarity as the collation data (example) by analogy. Output to the means 4.

The collation data input by the user via the input means 2 and the collation data input via the collation data search means 5 are both stored in the collation data storage section 4a. The analogy conversion processing unit 4b is configured to perform analogy conversion processing based on the data. By these analogy means 4, input means 2, collation data search means 5 and database 6, a character string conversion process based on analogy is executed.

Although various analogy algorithms can be considered in the analogy conversion processing unit 4b, in the present embodiment, the copycat proposed by Melanie Mitchell et al.
("Analogy-Making as Perception: A Computer Mode
l ", Melanie Mitchell).

Further, the data conversion device of the present embodiment is provided with a conversion evaluation means 7 and the character string conversion processing means 3
Alternatively, an evaluation is performed to determine whether there is any inconsistency in the conversion processing performed by the analogy conversion processing unit 4b of the analogization means 4 or whether there is any overlap in the converted character string, and display the evaluation result on the display unit 8. Is configured.

[2. Operation] The operation of the data conversion apparatus according to the present embodiment will be described below using an example for each process.

[2-1. Character string conversion processing based on conversion rule] First, a character string conversion processing based on a conversion rule, which is executed by the character string conversion processing means 3, will be described with reference to FIG.
This will be described with reference to the flowchart shown in FIG. Here, the rule shown in FIG. 2 is registered in the conversion rule storage unit 1 as a conversion rule, and the GUI for registering and applying this conversion rule is shown in FIG. It is also assumed that a control code having a limitation of "one alphabetic character + four digits" is created from the attribute values of customer data in the database shown in FIG.

(Step 501) First, a conversion rule to be applied to character string conversion is selected in the GUI shown in FIG. 3, and the conversion rules are extracted from the conversion rule storage unit 1 in the order of the specified priority. In FIG. 3, the order of priority is instructed so that processing is performed in the order of rule 3 → rule 1 → rule 2.

(Step 502) It is checked whether there is any unprocessed rule among the conversion rules extracted in step 501, and if there is an unprocessed rule, the process proceeds to the next step 503.
If not, the character string conversion process ends. Here, it is assumed that the conversion process has just started, and that rule 3 is applied. Rule 3 states that the first character is a number,
If the second character is alphabetic and the third character is "-", H
{4 に 5 ＄ 6 ＄ 1] ".

(Step 503) A character string to be converted is extracted. For example, from the table shown in FIG.
8, BC-1001, AC-0001, 63FC-1,
Take out 65FC-5, FC-6301 and 8C-112.

(Step 504) It is checked whether or not any of the character strings extracted in step 503 is unprocessed.
If there is an unprocessed one, the process proceeds to the next step 505. If all character strings have been processed, the process proceeds to step 50.
Returning to 2, the next conversion rule is applied. In the example of FIG.
FC-1128, BC-1001, AC-0001, 6
3FC-1, 65FC-5, FC-6301, 8C-1
If processing has been completed for all 12 character strings,
Return to step 502.

(Step 505) It is checked whether or not the character string extracted in step 503 matches the search pattern of the conversion rule. When Rule 3 is compared with the above six character strings, 8C-112 matches. Therefore, the process proceeds to Step 506, and the character string is converted according to Rule 3.
On the other hand, since the other character strings do not match the condition of rule 3, the process proceeds to step 508, the next character string is selected, and the processing of steps 504 to 508 is repeated.

(Step 506) The character string is converted according to the transfer character of the conversion rule. In the case of rules 3 and 8C-112, the characters transferred from rule 3 are converted to "H1128". (Step 507) Character string of conversion source and character string of conversion destination,
And record the applied conversion rules. In the above example, a record of the conversion source “8C-112”, the conversion destination “H1128”, and the application rule “rule 3” is created.

(Step 508) When the conversion process for a certain character string is completed in steps 505 to 507, the next character string is selected, and the process returns to step 504. Now, assuming that all character strings have been processed for rule 3, the process returns to step 502, and rule 1 is selected as the next rule based on priority.
At step 503, FC-1128 is used as a character string.
Is selected. Note that rule 1 states that if the second character is "C" and the third character is "-", {1} 4
"Convert to {5} / 6}".

(Step 505) Now, rule 1 and FC-
If it is compared with 1128, it matches, so step 50
6 is performed. If the rule 1 and 65FC-5 do not match, the process of step 508 is performed. (Step 506) The character string is converted according to the transfer character of the conversion rule. In the case of Rule 1 and FC-1128, the transfer character of Rule 1 is converted to “F1128”. (Step 507) Character string of conversion source and character string of conversion destination,
And record the applied conversion rules. In the above example, a record of the conversion source “FC-1128”, the conversion destination “F1128”, and the application rule “rule 1” is created.

As described above, the conversion process is performed on all the character strings to be converted by applying all the conversion rules to be applied. Note that the conversion result may differ depending on the priority assigned to the conversion rule. For example,
If the priority of the character string “8C-112” is in the order of rule 3 → rule 1 → rule 2 as described above, “H”
1128 ". However, the priority is rule 1 →
In the order of rule 2 → rule 3, a pattern match occurs first according to rule 1, and the result is “8112”.

[2-2. Character string conversion processing based on analogy]
Next, a character string conversion process executed by the analogy inference means 4 will be described with reference to a flowchart shown in FIG.

(Step 701) The analogy inference means 4 first selects either "1. Example input" or "2. Conversion".

(Step 702) In step 701, when “1. Example input” is selected, a combination of character strings input by the user as shown in FIG.
Alternatively, a combination of character strings selected by the collation data search means 5 described in the next section is extracted as an example.
For example, a combination of FC-1128 and F1128, B
Combination of C-1001 and B1001, 63FC-1
And the combination of F6301 as collation data.

(Step 703) It is checked whether or not there is unprocessed collation data among the collation data extracted in step 702.
Then, if the processing has been completed for all the collation data, the input processing of the example is completed. (Step 704) Unprocessed collation data is given as an example to a predetermined analogy mechanism. Here, unprocessed collation data is given as an example to an analogy mechanism applying the algorithm of Copycat. (Step 705) The next collation data is acquired, and if this collation data has not been processed, a predetermined analogy mechanism
This collation data is given as an example. In this way,
When all the collation data are given to the predetermined analogization mechanism as an example, the example input processing ends.

Next, a description will be given of the character string conversion processing in the analogy inference means 4.

(Step 706) As described above, the input processing of the example is completed, and when “2. Conversion” is selected in Step 701, the data of the conversion source is obtained. For example, it is assumed that the character strings of AC-2223 and 12FC-3 are input as the character strings to be converted when the combination of the character strings shown in step 702 is given as an example to the predetermined analogy mechanism. (Step 707) It is checked whether there is any unprocessed character string in the character string data of the conversion source acquired in step 706, and if there is an unprocessed character string, the process proceeds to step 708; The process ends.

(Step 708) The character string data of the conversion source is given to a predetermined analogy mechanism, and the character string is converted by analogy based on the example given in step 704. Here is an analogy mechanism that applies the algorithm of Copycat,
The character string data AC-2223 and 12FC-3 are provided and converted. In this case, AC-2223 sets A2223 to 1
2FC-3 can be expected to be converted to F1203.

(Step 709) The character string data of the conversion source and the character string data of the conversion destination, and the example given for inference are recorded. In the above example, the conversion source “AC-22”
23 ", the conversion destination" A2223 ", and the given example" FC
-1128 → F1128 ”, conversion source“ 12F
C-3 ", the conversion destination" F1203 ", and the given example" 6
A record “3FC-1 → F6301” is created. (Step 710) When the analogy conversion processing is completed for a certain character string, the next character string is selected, and the process returns to Step 707, where all the character strings to be converted are processed. A character string conversion process based on analogy is performed.

[2-3. Collation Data Search Process] Next, the collation data search process executed by the collation data search means 5 will be described with reference to the flowchart shown in FIG. Here, the “customer code” of the table data shown in FIG. 6 is the comparison source data, and the “control code” of the table data shown in FIG. 9 is the comparison data.

(Step 801) Character strings FC-1128, BC-1001, AC-000 of the customer code shown in FIG.
1, 63FC-1, 65FC-5, FC-6301, 8
C-112 is acquired as comparison source data, and the character strings A0001, F6301, F1128, and F
6505, H1128, and B1001 are extracted as comparison destination data. (Step 802) It is checked whether or not there is unprocessed comparison source data among the comparison source data extracted in Step 801. If there is unprocessed comparison source data, the process proceeds to Step 803.
If all data has been processed, the process proceeds to step 807 described below. (Step 803) It is checked whether or not there is unprocessed comparison data among the comparison data extracted in Step 801. If there is unprocessed comparison data, the process proceeds to Step 804.
If all comparison data has been processed,
Returning to step 802, processing is performed on the next comparison source data.

(Step 804) DP matching (hereinafter referred to as D) in which the similarity between the comparison source data and the comparison destination data is improved.
P matching + α). This DP matching + α will be described later. This DP
The similarity between the comparison source data and the comparison destination data obtained based on the matching is as shown in FIG. Among them, the similarity between FC-1128 and F1128 is “1”, and the similarity between FC-1128 and H1128 is also “1”. Therefore, it is unclear which similarity is higher only by DP matching, and the similarity is calculated in consideration of the “difference in the number of characters” and the “number of mismatched characters”. That is, in FC-1128 and F1128, the "difference in the number of characters" is "2", and the "number of mismatched characters"
Are two of "C-". In contrast, FC-1128
And H1128, the “difference in the number of characters” is “2”,
The “number of mismatched characters” is “FC-”. As a result, it is determined that the similarity between FC-1128 and F1128 is higher.

(Step 805) The combination of the comparison source data and the comparison destination data for which the similarity was calculated in step 804, and the obtained similarity are recorded. For example, a record as shown in FIG. 10 is created. (Step 806) Next, another comparison destination data is extracted, and the process returns to Step 803. Then, it is determined whether or not the comparison destination data is unprocessed.
Steps 804 to 806 are repeated. When the similarity is calculated for all the combinations of the comparison source data and the comparison target data, and the record of the similarity is created, the process proceeds to step 807 to search which combination has the highest similarity. .

(Step 807) First, step 805
One of the comparison source data is selected from the similarity data recorded in the step (1). (Step 808) Subsequently, it is determined whether or not the comparison source data is unprocessed. If not, the process proceeds to Step 809. On the other hand, if the processing has been completed for all the comparison source data. Ends the collation data search process.

(Step 809) With respect to certain comparison source data, it is checked whether or not the similarity obtained in step 804 is equal to or greater than a preset value. If so, appropriate collation data cannot be obtained, and the collation data search process ends. (Step 810) With reference to the record obtained in Step 805, a combination having the highest similarity is searched. FIG.
In the example, the similarity between FC-1128 and F1128 is the maximum value.

(Step 811) The combination having the maximum similarity retrieved in step 810 is output as collation data to the analog inference means. In the example of FIG.
128 and F1128 are output as collation data. (Step 812) When the search processing of the maximum similarity for a certain comparison source data is completed, the next comparison source data is selected, and the process returns to Step 808. Then, the maximum similarity is searched for all the comparison source data, and the optimum collation data is output to the analogization means (see step 702 in FIG. 7).

Here, the DP matching will be described. This DP matching is a method designed to perform as plausible matching as possible over the entire character string, and is a method using the concept of dynamic programming. Now, the string _s 1 _s 2 ... _{s m}
And t ₁ t ₂ ... T _n . And
The concept of closeness (distance) between characters s _i and t _j is introduced, and this is referred to as d (s _i , t _j ).
_{1 s} 2 _... introduced amount f (i, j) of the deviation of the time that is the s _i and _{t 1} t 2 _... t _j were best match, this one calculated by recurrence formulas as follows is there. In other words, it can be said that the smaller the shift amount f (i, j), the higher the similarity.

[0058]

(Equation 1) [2-4. Conversion Evaluation Process] Next, an evaluation process for the conversion process executed by the conversion evaluation means 7 will be described with reference to a flowchart shown in FIG.

(Step 1101) A record of the conversion recorded in the analogical inference means 4 or the character string conversion processing means 3 is obtained. For example, a record as shown in FIG. 12 is obtained. In the recording shown in FIG. 12, for example, the conversion source “63F
“C-1” indicates that the data has been converted to “F6301” based on the conversion rule 2, and the conversion source “AC-222”
"3" indicates that it is converted to "A2223" based on the example "FC-1128 → F1128".

(Step 1102) Subsequently, the restriction on the converted character string is obtained from the character string restriction database of the application that uses the converted character string. For example, the converted character string is "1 alphabet + number
(Step 1103) It is checked whether there is any unprocessed record among the conversion records extracted in Step 1101, and if there is an unprocessed record, the process proceeds to Step 1104. If the processing has been completed for all the conversion records, the conversion evaluation processing ends.

(Step 1104) It is checked whether or not the conversion destination data satisfies the restriction extracted in step 1102, and if not, the process proceeds to step 1106.
Perform error display. On the other hand, if the limit is satisfied, the process proceeds to step 1105. (Step 1105) It is determined whether or not the conversion destination data is the same despite the conversion source data being different. If the conversion destination data is the same (that is, if the conversion destination data is duplicated), the process proceeds to step 1106. , Display an error. On the other hand, if the conversion destination data is not duplicated, the process proceeds to step 1107.

(Step 1106) When the conversion destination data violates the restriction or overlaps, the error contents and the error status are displayed to the user. For example, as shown in FIG. 13, if the conversion source data is different (63FC-1, FC-6301) but the conversion destination data is the same (both are F6301), a duplicate error is displayed. . In addition, as shown in FIG. 14, the converted character string must be “1 alphabet + 4 digits”, but the conversion destination data is “AB10”, which violates the given restriction. If so, it is displayed as a limit error. (Step 1107) When the evaluation processing is completed for a certain conversion record, the next conversion record is selected, and Step 110 is performed.
Return to 3. When all the conversion records have been evaluated, the conversion evaluation processing ends.

[3. Effect] As described above, in the present embodiment, a huge amount of character string data can be converted into a desired character string system using a predetermined conversion rule. Furthermore, by performing an analogy using a character string on a set of already stored data as an example and enabling the conversion processing of the character string based on the analogy, the character string can be converted without the user having to construct all conversion rules. Column conversion becomes possible. In the present embodiment, by providing a conversion evaluation function,
If there is a problem in the conversion result, the problem and its cause can be presented to the user. This reduces errors caused by automatic conversion of character strings based on conversion rules or analogies, and reduces the load of debugging due to the error. It becomes possible.

[4. Other Embodiments] It is needless to say that the present invention is not limited to the above-described embodiment, and is not limited to character string data conversion but can be applied to other data conversion processing.

As an analogy algorithm in the analogy conversion processing unit, a copy algorithm proposed by Melanie Mitchell et al.
In addition to cat, ACME proposed by Holyoak and Thagard et al.
Methods such as SME proposed by Gentner et al. And Hearsay-II proposed by Erman and V. Lesser et al. Can be applied. Needless to say, the determination of similarity is not limited to DP matching. Further, the processing in the data conversion method according to the present invention is realized by a computer program controlling a computer, and the program is provided by being recorded on a recording medium.

[0066]

As described above, according to the present invention, the data conversion process based on the conversion rule and the data conversion process based on the analogy are used in combination, thereby greatly reducing the load of the conversion rule registration. , A data conversion method, and a medium recording a data conversion program.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a first embodiment of the present invention.

FIG. 2 shows an example of a conversion rule.

FIG. 3 shows an example of a conversion rule registration screen.

FIG. 4 is a diagram showing an example of a registration screen of collation data.

FIG. 5 is a flowchart showing a flow of a character string conversion process based on a conversion rule.

FIG. 6 is a diagram illustrating an example of a conversion target database;

FIG. 7 is a flowchart showing the flow of a character string conversion process based on analogy;

FIG. 8 is a flowchart showing the flow of a collation data search process;

FIG. 9 is a diagram illustrating an example of a collation database.

FIG. 10 is a diagram showing an example of similarity recording.

FIG. 11 is a flowchart showing the flow of a conversion evaluation process;

FIG. 12 is a diagram illustrating an example of recording of character string conversion.

FIG. 13 is a diagram showing an example of a duplicate error display.

FIG. 14 is a diagram showing an example of a limit error display

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Conversion rule storage means 2 ... Input means 3 ... Character string conversion processing means 4 ... Analogue inference means 4a ... Collation data storage part 4b ... Analogue conversion processing part 5 ... Collation data search means 6 ... Database 7 ... Conversion evaluation means 8 ... Display means

 ──────────────────────────────────────────────────の Continuing on the front page (72) Inventor Makoto Matsumoto 1 Toshiba-cho, Fuchu-shi, Tokyo Inside the Toshiba Fuchu plant (72) Inventor Rieko 1-Toshiba-cho, Fuchu-shi, Tokyo Inside the Fuchu plant

Claims (12)

[Claims] 1. A data conversion apparatus for converting first data into second data, comprising: means for converting the first data into second data based on a conversion rule; Means for converting the first data into the second data based on the data. 2. A data conversion device for converting first data into second data, wherein: a storage unit for storing a conversion rule; a unit for registering a conversion rule in the conversion rule storage unit; Data conversion processing means for converting one data into second data; analogy means for converting the first data into second data by analogy; and a combination between a plurality of data specified in the analogy means. Means for providing verification data; and a data conversion device. 3. The data conversion device according to claim 1, further comprising an evaluation unit for evaluating whether the converted data is appropriate. 4. The analogy inferring means includes a collation data storage unit that stores the collation data, and an analogy conversion processing unit that converts data by analogy.
Data conversion device as described. 5. A collating means for providing collation data to said analogy means, comparing a set of source data and a set of destination data, and searching for a combination expected to be source data and destination data. 3. The data conversion device according to claim 2, wherein the data conversion device is a data search unit. 6. A data conversion method for converting first data into second data, the method comprising: converting the first data into second data based on a conversion rule; Converting the first data into the second data based on the data conversion method. 7. A data conversion method for converting first data into second data, a storage process for storing a conversion rule, a process for registering the conversion rule, and a process for storing the first data in accordance with the conversion rule. 2, a process of converting the first data into a second data by analogy, and a process of providing collation data, which is a combination of a plurality of specific data, in the analogy process. A data conversion method comprising: 8. The data conversion method according to claim 6, further comprising an evaluation process for evaluating whether the converted data is appropriate. 9. The data conversion method according to claim 7, wherein said analogy inference processing includes a collation data storing step of storing said collation data, and an analogy conversion processing step of converting data by analogy. 10. A process for providing collation data at the time of the analogy process, comprising comparing a set of source data and a set of destination data to search for a combination expected to be source data and destination data. The data conversion method according to claim 7, wherein the data conversion process is a data search process. 11. A recording medium on which a data conversion program for converting data by a computer is recorded, wherein the first data is converted to the second data based on a conversion rule when the first data is converted to the second data. And a data conversion program for converting the first data into the second data based on a combination of a plurality of specific data. 12. A recording medium on which a data conversion program for performing data conversion by a computer is recorded, wherein a conversion rule is stored when the first data is converted into the second data, and the first data is stored in accordance with the conversion rule. Is converted to second data by analogy, the first data is converted to second data by analogy, and when the data is converted by analogy, collation data, which is a combination between a plurality of specific data, is given. A recording medium having recorded thereon a data conversion program.