JP5153718B2 - Information management apparatus and method, and recording medium - Google Patents

Description

The present invention relates to an information management apparatus and method, and further to a recording medium storing a program for realizing these, and particularly suitable for use in a system for creating, managing, and supporting use of related or structured information. It is a thing.

In general, various types of information are used when performing system development or performing work using the developed system. In fact, these pieces of information do not actually exist as individual items, but often exist in association with other information. In addition, not only in the field of system development, but also in various other fields (for example, when creating various documents such as presentation materials and online manuals, various databases such as address books and term dictionaries). The information used is often related to each other.

In this case, it is desired to manage such information having a relation, that is, a structure with a computer, and to facilitate the management. For example, in software development, appropriately managing the meaning of the terms and the accompanying information with respect to the terms appearing in the specifications is useful for improving the productivity of software development. That is, the connection between the specification and the term, the connection between the specification term and the implementation information (information such as the variable name at the time of programming, the type of the variable, and restrictions), or the terms It is expected that development efficiency will be improved by appropriately managing the system formed by relations (synonyms, etc.). In addition, not only synonyms and the like, it is more convenient if information related conceptually such as “computer” and “personal computer” is associated.

Conventionally, several tools for managing information having such a structure have been proposed and used. However, all of these tools must associate information according to the method determined by each tool, and must associate information that has a bidirectional relationship from both directions. There wasn't. Therefore, the structure could not be freely defined, and the work was very troublesome.

For example, in a system development situation, the creation and management of information having the above-described structure is often performed by joint work by a large number of people. In this case, there is a high possibility of inconsistency in the structure of the created information. In the past, such inconsistencies had to be discovered and corrected manually.

For example, even if a tool for finding inconsistencies is used, in the past, the inconsistency was found and an error was reported to the user. The approach of always proceeding with consistency was used.

In this case, when collaborating by a plurality of people, there is a possibility that the user cannot input his / her input without waiting for the input of another person, or the input cannot be performed due to a mistake of another person. And if you don't do this perfectly, it will cause errors again. For this reason, in the joint work, a lot of time was required for the work to resolve the inconsistency.

When an inconsistency is discovered, it is necessary to check which information created by whom of the collaborators is inconsistent, resolve it, and move on to the next operation. In this case, the part that was inconsistent and the information related to the part that was inconsistent could not be input to the system and could not be used.

For this reason, conventional tools for managing structured information need to proceed with sufficient care at the information creation stage, and are not suitable for collaborative work by many people. It was.

The present invention has been made to solve such a problem, and the structure of information having a structure can be freely defined by a simple operation, and can be used for a joint work by a large number of people. The purpose is to improve the work efficiency of creating and managing structured information by providing a simple system.

An information management apparatus according to the present invention is an information management apparatus for managing information having a structure, the first input means for inputting the definition of the structure, and the structure definition input by the first input means. A second input means for inputting a data definition representing the entity of each information and the relation between the entities according to the above, and a modeling means for analyzing the definition input by the first and second input means and converting it into an ER model It is characterized by comprising.

In another aspect of the present invention, the modeling means analyzes a relationship between the information and first analysis means for analyzing the substance of each information input by the first and second input means. A second analysis unit, an entity conversion unit that converts the entity definition of the ER model according to the analysis result of the first analysis unit, and a conversion of the relationship definition of the ER model according to the analysis result of the second analysis unit Relationship conversion means.

In another aspect of the present invention, when the definition input by the first and second input means is converted into the ER model by the modeling means, a mismatch detection means for detecting a mismatch of definition contents is provided. Prepare. Here, a third input unit for inputting an arbitrary restriction item when defining the structure of the information may be provided, and the inconsistency detection unit may verify the restriction item. Further, the mismatch detected by the mismatch detection means may be output as an error. Further, it is possible to provide a replacement means for converting the inconsistency portion detected by the inconsistency detection means into an entity and relationship definition indicating inconsistency.

In another aspect of the present invention, means for expanding the ER model into hypertext is provided.

The information management method of the present invention is an information management method for managing information having a structure, the step of inputting the definition of the structure, the entity of each information according to the input structure definition, and The method includes a step of inputting a data definition representing a relationship between entities, and a step of analyzing the input definition and converting it into an ER model.

In another aspect of the present invention, when the conversion to the ER model is performed, a mismatch of definition contents is detected. Here, the detected inconsistency part is converted into an entity and relationship definition indicating inconsistency, and the inconsistency part is extracted and presented together after the model conversion process is completed. Anyway.

In another aspect of the present invention, the method further includes the step of expanding the converted ER model into hypertext.

The computer-readable recording medium of the present invention is input by a first input means for inputting the definition of the structure and the first input means in an information management apparatus for managing information having a structure. A second input means for inputting a data definition representing each information entity and a relationship between the entities according to the structure definition, and the definition input by the first and second input means is analyzed and converted into an ER model. A program for causing a computer to function as modeling means is recorded.

In another aspect of the present invention, a program for further realizing a computer with a function as means for detecting inconsistencies in definition contents when performing conversion to the ER model is recorded.

In another aspect of the present invention, a program for further realizing a computer as a function for expanding the ER model into hypertext is recorded.

In the present invention, since means for converting target information into an ER model according to the input structure definition and data definition is provided, the same ER model can be obtained regardless of how the definition is input. Thus, it is possible to freely define the information so that it is easy for the user to write without being fully aware of the complicated structure of information. In addition, since the information can be associated from one direction, the structure of the information can be easily defined, and the work efficiency of creating and managing information having the structure can be greatly improved.

In addition, according to another feature of the present invention, since a means for detecting inconsistencies in definition contents is provided when an input definition is converted into an ER model, the inconsistency is automatically detected during conversion into the ER model. Thus, it is possible to detect and present the result, and the work efficiency of creating structured information can be further improved. Therefore, it is possible to sufficiently cope with a case where work efficiency is improved in a collaborative work by a large number of people who are highly likely to cause inconsistency.

In addition, according to another feature of the present invention, since a means for expanding the converted ER model into hypertext is further provided, a high-speed information navigation environment can be provided. At this time, since the mutual relationship between entities is clearly defined by the ER model, the movement display between entities can be freely performed from both directions, and the cross-reference of information can be easily performed. .

It is a functional block diagram showing the elemental feature of the information management device of the present invention. It is a figure which shows a personnel composition model as an example of the information with a structure. It is a figure which shows an example of the structure definition according to the example of FIG. It is a figure which shows an example of the data definition according to the example of FIG. It is a figure which shows the other example of the data definition according to the example of FIG. It is a figure which shows the example of an output of a mismatch detection result. It is a flowchart which shows the conversion operation | movement to the ER model by a modeling means. It is a figure which shows the example of a hypertext output by a HTML format. It is a figure which shows the example of a hypertext output by a HTML format. It is a figure which shows a workflow model as an example of the information with a structure. It is a figure which shows a term dictionary model as an example of the information with a structure. It is a figure which shows a resource management model as an example of the information with a structure. It is a figure which shows a schedule management model as an example of the information with a structure.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a functional block diagram showing elemental features of an information management apparatus according to the present invention. The information management apparatus and method of the present invention will be described below with specific examples.

In FIG. 1, 1 is a structure definition input means for defining structures of various information to be managed. With this structure definition input means 1, it is possible to define the structure of information related to each other, information associated with each information, and the like. In the following, as an example, let us consider defining a personnel structure as shown in FIG. In FIG. 2 (a), there are several “groups” under “part”, and some “people” belong to the group, and there is a hierarchical relationship in the relationship between people. Represents the structure.

Such a structure definition is actually input on a script basis. For example, the structure of FIG. 2A is described as shown in FIG. In the script of FIG. 3, the line number is described on the left side for convenience of explanation, but this line number is not actually required. Definitions corresponding to “part”, “group”, and “person” in FIG. 2A are described in the 4th to 8th lines, the 9th to 12th lines, and the 13th to 18th lines in FIG. 3, respectively. Yes. Units such as “parts” and “groups” defined in this structure are referred to as classes, and actual input data that will be described later is referred to as instances.

For example, the class “part” is defined by three elements “string”, “list_of_ref_to”, and “optionalstring”. “String” on the fifth line is a part that defines a character string for describing an outline of what this class is. “List_of_ref_to” on the sixth line is a definition of referring to another class and listing it. More specifically, the class “group” is referred to, and the instances existing therein are extracted and listed as a “group list”.

Also, in the 7th line, there is a comment field with “optional string”, but the element with “optional” indicates the part that does not need to perform constraint check (confirmation of inconsistency). . Although details will be described later, the constraint check here refers to confirming whether or not this element needs to exist in the corresponding instance.

Also, “optional ref_to” on the 15th line describes a definition that refers to a class “group” and uses an instance existing there as “affiliation”. In this case as well, as in the case of the “optional string” above, it is not necessary to perform the constraint check (confirmation of inconsistency), so there is no need to confirm whether or not the corresponding instance element needs to exist. , The element may be blank.

However, in the case of “optional ref_to”, it is necessary to refer to another class as indicated by “ref_to”. Therefore, if the corresponding instance is not blank, whether or not the reference destination indicated by the content is defined. A reference check is performed. For example, in the example of the previous 15th line, it is necessary to refer to the class “group” and use an instance existing there as “affiliation”, so whether or not the reference class “group” is defined. A check is made.

By defining the class as described above, the information structure can be defined. Note that the first to third lines and the 19th to 21st lines in FIG. 3 are mere comment lines that are not related to the operation. In the present embodiment, in addition to the definition of such a structure, information on various restrictions can be described by the restriction input unit 3. For example, although the telephone number is not expressed in FIG. 2A, the telephone number is defined as “string” in the 14th line in FIG. In other words, “people” must always have “phone numbers”.

Returning to FIG. 1, reference numeral 2 denotes data definition input means for inputting the data definition representing the entity of the information to be managed and the relationship between the entities in accordance with the structure definition input by the structure definition input means 1. Is to do. For example, as shown in FIG. 4, according to the structure definition input as shown in FIG. 3, the department is “development department”, the groups are “development section 1” and “development section 2”, the people are “Taro Kinoshita”, “ Script-based information such as “Jiro Tanaka” and “Saburo Inoue” and information on the relationship between these entities, information on restrictions such as telephone numbers, and information equivalent to “optional” in FIG. input.

As for the relationship between entities, there are “development section 1” and “development section 2” as group lists of “development department” in the department data definition, and “Kinoshita Taro”, “ “Jiro Tanaka” and “Saburo Inoue” all belong to “Development 1 Division”, and the contents that the boss of “Jiro Tanaka” and “Saburo Inoue” is “Taro Kinoshita” are described.

Reference numeral 4 denotes modeling means, which analyzes the structure definition, data definition, and restrictions input by the input means 1 to 3 and converts them into an ER model (entity relationship model). The ER model is one of a number of data models, and refers to a model that expresses the target world mainly using two concepts of entities (entities) and relationships (relationships). Multiple entities are linked according to the meaning of the relationship. In addition, both the entity and the relationship can have attributes (for example, in the case of the entity “person”, the above-described telephone number and name).

FIG. 2B is a conceptual diagram showing an example of the result of converting the data definition shown in FIG. 4 into an ER model. In FIG. 2B, an ellipse represents an entity, and a solid line connecting the ellipses is a relationship. Here, the attributes (telephone numbers and the like) associated with the respective entities and relationships are not shown. The information of the ER model thus converted is stored and saved in the ER information storage unit 5 of FIG.

As described above, according to the present embodiment, since a means for converting information to be managed into an ER model according to the input definition is provided, the user is not completely aware of the complicated structure of the information. Can be written freely to make it easier to write. That is, for example, how to describe the structure as shown in FIG. 2 (for example, the relationship between “part” and “group”, the relationship between “group” and “person”, etc.) ) Since ER expansion will result in a model with the same shape, the relationship definition method is not constrained and can be freely described.

That is, in the examples of FIGS. 3 and 4, the relationship between “part” and “group” is described in the data definition of “part” (in the “development department”, “development 1 section” and “ The description form that “Development 2” is present), but the relationship between “Group” and “Person” is described in the data definition of “Person” (who belongs to “Development 1”) The description form) and other description formats can be developed into the same ER model.

For example, even if all the relationships between “Department” and “Group” and “Group” and “People” are described in the data definition of “Group” (“Development 1” and “Development”) “Section 2” belongs to the “development department.” In addition, “development 1 section” can be expanded to the same ER model). Thus, according to the information management apparatus of the present embodiment, the structure can be freely and easily defined in a form that is easy for the user to understand.

As shown in FIG. 1, in the information management apparatus according to the present embodiment, the modeling unit 4 includes a mismatch detection unit 4a and a replacement unit 4b. The inconsistency detection unit 4a detects the inconsistency of the definition contents when the definition or restriction items input by the input units 1 to 3 are converted into the ER model by the modeling unit 4. For example, by verifying the input restrictions, the required items that should be entered according to the structure definition are not entered, or the entity itself is defined even though the relationship between entities is defined. Detect inconsistencies such as

For example, as shown in FIG. 5, although “Development 3” is described as a group list in the data definition of “Department”, the entity of “Development 3” is changed in the data definition of “Group”. If not defined, an inconsistency is detected as a relationship that cannot be connected between entities exists. For example, in the case of defining the structure of “sales department” (not shown) that has nothing to do with this in addition to “development department”, inconsistency is defined even if no relationship is defined. Don't be. Whether or not to detect as inconsistency can be described as a restriction item.

By the way, if an inconsistency is detected, it is possible to immediately output it as an error. However, if an error is simply output, all the information associated with the inconsistent portion becomes unusable and has a structure. The support in the middle of creating information will be insufficient. In other words, the structuring of information is gradually completed through trial and error, and many inconsistencies usually occur in the middle of creation. However, when performing simple error output, there is one inconsistency. Every time it is discovered, the conversion to the ER model is interrupted.

When a large number of people are collaborating, such inconsistencies often occur. If the work is interrupted each time, the work efficiency deteriorates. Therefore, in this embodiment, when such an inconsistency is detected, a temporary entity is created instead of immediately repelling an error. That is, in this embodiment, inconsistency is temporarily permitted, and the work is not interrupted. In addition, since the information accompanying the inconsistent portion can be used as it is, the work efficiency is significantly improved as compared with the conventional case.

Specifically, in the process of permitting inconsistency, the replacement means 4b defines a special entity and relationship indicating that the inconsistency detected by the inconsistency detection means 4a is inconsistent. Convert to That is, in this embodiment, when inconsistency is detected, the inconsistent portion is replaced with a special entity and relationship definition to continue the conversion process to the ER model, and after the conversion process is completed, the replacement is performed. Search for special parts and output them together. FIG. 6 is an example of the output screen.

Here, the conversion operation to the ER model by the modeling unit 4 including the mismatch detection unit 4a and the replacement unit 4b is shown in the flowchart of FIG. Hereinafter, description will be given with reference to the flowchart of FIG. In FIG. 7, first, the structure definition input by the structure definition input means 1 is analyzed in step S1, the restriction input by the restriction input means 3 is analyzed in step S2, and the data definition input is performed in step S3. The data definition input by means 2 is analyzed according to the structure definition.

Next, in step S4, the structure definition, data definition, and constraint definition are analyzed, and all entities of the ER model are created according to the analysis result. In step S5, the relationship between the entities is analyzed, and the relationship between the created entities is created according to the analysis result. As a result, for example, if a structure is defined in which “a relation is set but there is no corresponding entity”, it is determined in step S6 that there is a mismatch. In this case, the process proceeds to step S7, where a temporary entity is created and a relationship is established in order to avoid the inconsistency.

Thus, inconsistency is considered to occur frequently when, for example, a plurality of user terminals connected to a network work together. Therefore, as in this embodiment, it is possible to continue the conversion process to the ER model by allowing the temporary inconsistency to be present, and then present the inconsistent portions together to improve the overall work efficiency. More preferable from the viewpoint. By presenting inconsistent parts together, it is possible to manage work progress based on the number of incomplete parts.

In FIG. 1 again, reference numeral 6 denotes a common output unit which outputs ER information stored in the ER information storage unit 5 to a display or printer (not shown) or transfers it over a network. In the present embodiment, the HTML output unit 7, the search information output unit 8, and the LaTeX output unit 9 can output in various expression formats via the common output unit 6.

The HTML output unit 7 expands the content of the ER information into an HTML file group and outputs it. At that time, by providing hyperlinks between entities for which relationships are defined, a high-speed information navigation (movement between nodes by following links) environment is provided. 8 and 9 are diagrams showing examples of hypertext output in HTML. In these figures, the underlined portion indicates a portion where a hyperlink is provided. By clicking here, it is possible to immediately move to the corresponding node. FIG. 9 is an example of a screen displayed when the “development department” portion is clicked on the screen of FIG.

In particular, in the present embodiment, since the mutual relationship between entities is clearly defined by the ER model, movement display between entities can be freely performed from both directions. Thereby, the cross-reference of information can be simplified. Further, as shown in FIG. 6, since the detection result of inconsistency is also output in a hypertext format, it is possible to immediately move to the corresponding inconsistent portion by a hyperlink, further improving work efficiency. Can be improved.

Furthermore, by inputting the contents that define the scope of responsibility when inputting definitions and restrictions by the input means 1 to 3 and presenting them together, the detected inconsistency is a true inconsistency. It is possible to easily identify the cause of inconsistency, such as whether it is an inconsistency due to a mistake in its definition, or an inconsistency because it does not process information of others who are collaborating. Specifically, this is realized by defining it in a script as shown in FIGS.

For example, the definition of extern branch office is added to the script of FIG. 3 as the 22nd line. This is a definition that an instance is extracted by referring to a class “branch” defined in an external script other than the structure definition script of FIG. 3 and used as a “work location”. If the responsibility range is only the class defined in the script range of FIG. 3, it can be understood that the class “branch” is out of the responsibility range. By separating the scope of responsibility in this way, it is possible to efficiently support creation by a plurality of workers.

As can be seen from the above description, it is not always necessary to create a structure definition and a data definition or a restriction item separately. That is, the structure definition may be described in one script if the structure definition is written in the structure definition grammar, the data definition is written in the data definition grammar, and the restriction is written in the restriction grammar.

The search information output unit 8 includes a list of ER information stored in the ER information storage unit 5, a list for each type of information, or search information for performing a simple search by name or an ambiguous search by keyword. Create, for example, expand into an HTML file and output. Further, the LaTeX output unit 9 creates and outputs data for printing based on the ER information stored in the ER information storage unit 5.

As described above in detail, according to the present embodiment, it is possible to freely define a place where the user can easily write or write without being aware of the complicated structure of information to be managed. In addition, the association between information may be performed from one direction, and the structure of information can be easily defined. Further, according to the present embodiment, since inconsistency is automatically detected and presented at the time of conversion to the ER model, it is possible to improve the work efficiency of creating information having a structure. In the case where information having such a structure is created by collaborative work by a large number of people, there is a high possibility that inconsistency will occur, and this is particularly advantageous when collaborative work is performed.

In the above embodiment, the case where information having a structure related to personnel structure is created has been described as an example. However, the present invention is not limited to this example, and any information having a structure may be used. It can be applied to anything. For example, a workflow model as shown in FIG. 10, a term dictionary model as shown in FIG. 11, a resource management model as shown in FIG. 12, and a schedule management model as shown in FIG. 13 are given as other examples.

The structure of the workflow model shown in FIG. 10 will be briefly described. For example, when considering the work of software development, the “development process” requires a work of “designing” software and a “coding” work of actually programming according to the design contents. When “designing”, a “specification document” is required, and as a result, a “design document” is completed. The “designer” takes charge of this, and “SE” creates the “source code” by “coding” based on the “design document”.

Furthermore, there is a relationship called “review role” between the “role” such as the designer or SE and the “information” such as the specification, design document, or source code. In the conceptual diagram of the ER model shown on the right side of FIG. 10, a solid line is not drawn between the “designer” and the “design document”, but if a solid line corresponding to the “review role” is drawn here, , It is possible to have a relationship that it is a “designer” to review a “design document” (for example, press an approval mark).

In addition, the term dictionary model shown in FIG. 11 has a structure of terms such as “PC”, “workstation”, “computer”, “computer” and their meanings, synonyms / polyseonyms, or relationships between terms. It is an example defined as In addition, the resource management model shown in FIG. 12 is under the management of “Jiro Tanaka”, “Computer 1” is manufactured by “XX Electric” and sold by “△△ Trading”, and “Desk 1” is sold. This is an example in which the relationship between “XX office machine” manufactured and “△△ Trading” sold is defined as a structure.

Further, in the schedule management model shown in FIG. 13, “Jiro Tanaka” is “Programmer 1” of “Development Department” and performs “Program” along “Group Schedule”, but “Personal Schedule” completely separate from it. This is an example of defining a structure that also has

(Other Embodiments of the Present Invention) Each of the functional component blocks 1 to 9 shown in FIG. 1 is actually constituted by a microcomputer system comprising a CPU or MPU, ROM, RAM, etc., and the operation is stored in the ROM. However, it may be configured in hardware. Also, the program code of software for realizing the function is supplied to the ROM so as to realize the function of each of the functional configuration blocks 1 to 9, and the blocks 1 to 9 are operated according to the program. Are also included in the scope of the present invention.

In this case, the program code of the software itself realizes the functions of the above-described embodiments, and the program code itself and means for supplying the program code to the computer, for example, a recording medium storing the program code Constitutes the present invention. As a recording medium for storing the program code, in addition to the ROM, for example, a floppy disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a CD-I, a CD-R, a CD-RW, a DVD, a zip, a magnetic A tape, a nonvolatile memory card, or the like can be used.

Further, by executing the program code supplied by the computer, not only the functions of the above-described embodiments are realized, but also the OS (operating system) or other application software in which the program code is running on the computer, etc. It goes without saying that the program code is also included in the embodiment of the present invention even when the functions of the above-described embodiment are realized jointly.

Further, after the supplied program code is stored in the memory provided in the function expansion board of the computer or the function expansion unit connected to the computer, the CPU provided in the function expansion board or function expansion unit based on the instruction of the program code Needless to say, the present invention includes a case where the functions of the above-described embodiment are realized by performing part or all of the actual processing.

DESCRIPTION OF SYMBOLS 1 Structure definition input means 2 Data definition input means 3 Restriction input means 4 Modeling means 4a Inconsistency detection means 4b Replacement means 5 ER information storage part 6 Common output part 7 HTML output part 8 Search information output part 9 LaTeX output part

Claims (3)

A structure definition input means configured to accept a structure definition of certain information as an input;
Data definition input means configured to accept as input the data definition representing the entity of the information and the relationship between the entities of the information according to the structure definition received by the structure definition input means;
Restriction input means configured to accept as input a restriction related to the structure definition and the data definition;
Modeling means configured to analyze the structure definition, the data definition, and the constraints;
Determining whether the structure definition or the data definition satisfies the constraints;
A mismatch detection means configured to detect a part of the structure definition or the data definition that does not satisfy the restriction as an inconsistency, and to add the part of the structure definition or the data definition to an analysis result;
Replacing means for replacing the structure definition or the portion of the data definition with a temporary entity or a temporary relationship between the entities, and adding the temporary entity or the temporary relationship between the entities to the analysis result;
Storage means configured to store the analysis results;
An information management device comprising: output means configured to output the analysis result. This is realized using an information management apparatus including a structure definition input means, a data definition input means, a constraint input means, a modeling means, a mismatch detection means, a replacement means, a storage means, and an output means. A method for managing target information, the method comprising:
Receiving a structure definition as an input by the structure definition input means, wherein the structure definition defines a structure of certain information;
Receiving as an input a data definition representing a relationship between the entity of the information and the entity of the information according to the structure definition received by the structure definition input means, and receiving the data definition input means;
Accepting the restrictions on the structure definition and the data definition as input, and receiving by the restrictions input means;
Analyzing the structure definition, the data definition, and the constraint by the modeling means;
The inconsistency detection means determines whether the structure definition or the data definition satisfies the constraint, detects the structure definition or the data definition portion that does not satisfy the constraint as inconsistency, Adding the structure definition or the portion of the data definition to the analysis results;
The replacement means replaces the part of the structure definition or the data definition with a temporary entity or a temporary relationship between the entities, and adds the temporary entity or the temporary relationship between the entities to the analysis result. Steps,
Storing the analysis result by the storage means;
Outputting the analysis result by the output means. When executed by a computer device,
A function that accepts a structure definition as an input, the structure definition defining a structure of certain information;
A function of accepting as input a data definition representing a relationship between the entity of the information and the entity of the information according to the structure definition;
A function of analyzing the structure definition, the data definition, and the constraint;
A function for accepting restrictions on the structure definition and the data definition as input;
It is determined whether the structure definition or the data definition satisfies the restriction, and a part of the structure definition or the data definition that does not satisfy the restriction is detected as an inconsistency, and the structure definition or the data definition A function of adding the part to the analysis result;
A function of replacing the part of the structure definition or the data definition with a temporary entity or a temporary relationship between the entities, and adding to the analysis result;
A function of saving the analysis result;
A computer-readable medium storing instructions for causing the computer device to execute an operation including a function of outputting the analysis result.

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