Information analysis method, information analysis server, and electronic information management system

Abstract

Provided is an information analysis method for analyzing, by means of an information analysis server having a processor and a memory, a file used in a service terminal connected via a network, the information analysis method comprising: a first step in which the information analysis server analyzes the file used in a plurality of steps constituting a service; a step for acquiring the used file for each step and storing the step, the file, and the position of the file in step document information in association with each other; a second step in which the information analysis server analyzes words included in the files and generates a relationship link using files having similar words as associated files; and a third step in which the information analysis server stores, in meta-information, the file used in each of the steps, the position of the file, and the relationship link.

Description

[0001] Join by reference

[0002] This application claims the benefit of priority based on Japanese patent application No. 2022-171341, filed on October 26, 2022, the contents of which are incorporated herein by reference. Technical Field

[0003] The present invention relates to a computer system for assisting in improving business efficiency. Background Art

[0004] In order to improve business efficiency, a technology for automatically building a business process is known. For example, Japanese Patent Application Laid-Open No. 2010-20634 describes a technology that, when collecting business events and automatically building a business process, detects irrelevant events that occur independently of the business events and excludes them from the business process.

[0005] In addition, as a technology for analyzing data used in business, text mining is known. For example, Japanese Patent Application Laid-Open No. 2006-244298 describes a technology that classifies words or attribute values ​​extracted from an analysis target text into two or more categories and displays them in a list, and when a user specifies a word or attribute value, the words or attribute values ​​are filtered in conjunction with the specified word or attribute value and then displayed in a list. Summary of the invention

[0006] Technical problem to be solved by the invention

[0007] In the process of business advancement, a large number of files, information, pictures, etc. used in the business will be saved, but they are scattered in various folders and systems, so the following situation may occur: when the business needs it, it needs to be searched, and if it is not found, even if the information exists, it cannot be used.

[0008] People hope to automatically structure existing documents and information and provide appropriate documents and information as business progresses.

[0009] To this end, the present invention is made in view of the above-mentioned problems, and its purpose is to improve the efficiency of business processing by presenting (presenting to users) information such as files used in each process that constitutes the business, documents and data belonging to the system used for the business.

[0010] Technical means of solving problems

[0011] The present invention provides an information analysis method, in which an information analysis server having a processor and a memory analyzes files used in a business terminal connected via a network, comprising: a first step, in which the information analysis server obtains the files used in each of the multiple processes constituting the business and stores the processes, the files and the positions of the files in process document information in an associated manner; a second step, in which the information analysis server analyzes the words contained in the files and generates relationship links by treating files with similar words as associated files; and a third step, in which the information analysis server stores the files used in each of the processes, the positions of the files and the relationship links in meta-information.

[0012] Effects of the Invention

[0013] Therefore, the present invention can provide information such as documents required for each process of the business, so it can improve business efficiency by reducing the labor of searching for documents. In addition, by sharing this information within or between departments, it is possible to quickly share business information. Furthermore, the business knowledge of experienced personnel can be used as a reference for other employees, and skill inheritance can be achieved.

[0014] Details of at least one embodiment of the subject matter disclosed in this specification are described in the accompanying drawings and the following description. The disclosed subject matter and other features, methods, and effects will be made clear through the following disclosure, drawings, and technical solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1A FIG. 1 is a block diagram of an electronic information management system showing Embodiment 1 of the present invention.

[0016] Figure 1B The first embodiment of the present invention is a block diagram of a business system.

[0017] Figure 2 The first embodiment of the present invention is a flowchart showing an outline of processing performed in the electronic information management system.

[0018] Figure 3 The first embodiment of the present invention is a diagram showing an example of a recording process of a business flow.

[0019] Figure 4 The first embodiment of the present invention is a diagram showing an example of a business process document table.

[0020] Figure 5 The first embodiment of the present invention is shown in the first half of a sequence diagram showing an example of processing performed in an electronic information management system.

[0021] Figure 6The first embodiment of the present invention is shown in the middle part of a sequence diagram showing an example of processing performed in an electronic information management system.

[0022] Figure 7 The first embodiment of the present invention is shown in the second half of a sequence diagram showing an example of processing performed in an electronic information management system.

[0023] Figure 8 The first embodiment of the present invention is a diagram showing an example of a high-frequency word list.

[0024] Fig. 9 The first embodiment of the present invention is a diagram showing an example of a file relationship table.

[0025] Fig.10 The first embodiment of the present invention is shown in FIG. 1, which is a diagram showing an example of a meta information table.

[0026] Fig.11 The first embodiment of the present invention is a diagram showing the relationship between tasks, processes, and meta-information of files.

[0027] Fig.12 The first embodiment of the present invention is shown in FIG. 1, which is a diagram showing an example of meta-information.

[0028] Fig.13 The first embodiment of the present invention is shown in the figure, which is an example of an auxiliary screen showing a business flow.

[0029] Fig.14 The second embodiment of the present invention is a diagram showing an example of an auxiliary screen for a business process composed of a high-frequency word list and a word correlation graph. DETAILED DESCRIPTION

[0030] Embodiments of the present invention will be described below based on the drawings.

[0031] Example 1

[0032] Figure 1A The first embodiment of the present invention is a block diagram of an electronic information management system 1. The electronic information management system 1 of this embodiment manages business for each process and records the content of business processing performed in the business terminal 8, analyzes the files (data or documents) used in each process and the location of the files, and presents the files required for each process (presents to the user). In addition, in this embodiment, "files" are not only document files (document files) stored in folders, etc., but also various information accumulated in the system such as control devices for controlling manufacturing equipment, abnormality lists and alarm lists in past operations, historical records such as trend charts, and equipment management systems and manufacturing execution systems are also part of the "files".

[0033] <System Structure>

[0034] The electronic information management system 1 includes a business terminal 8 for implementing business, file servers 7-1 to 7-n for storing files used in the business, a business system 90 used in the business, an information analysis and accumulation server 2 for analyzing information such as files and data used in each process to generate meta-information and presenting the data used in each process based on the meta-information, and a network 9 for connecting each device.

[0035] In addition, when the file server is not specified individually, the mark "7" is used with the characters after "-" omitted. This is also the same for the marks of other components. In addition, the device for storing files used in the business is not limited to the file server 7, but can also be a storage device such as NAS (Network Attached Storage). The files used in each business do not need to exist in the folder under the same directory, and can be scattered in various folders.

[0036] The information analysis and accumulation server 2 is a computer including a processor 21, a memory 22, a storage device 23, and a network interface 24. In the memory 22, the business recording unit 3, the document analysis unit 4, the document relationship extraction unit 5, the directory analysis unit 6, and the business process presentation unit 40 are loaded as programs and executed by the processor 21.

[0037] The processor 21 operates as a functional unit that provides a predetermined function by processing according to the programs of each functional unit. For example, the processor 21 functions as the document analysis unit 4 by processing according to the document analysis program. The same applies to other programs. Furthermore, the processor 21 operates as a functional unit that provides each function of multiple processes executed by each program. Computers and computer systems are devices and systems that include these functional units.

[0038] The business recording unit 3 obtains the content of the business processing implemented by the business terminal 8 and the files used in the business of each process, and records them in the business process document table 31. The business recording unit 3 obtains the processes that constitute the business, and records the files used in the business terminal 8 for each process. In addition, the files can include data and documents used by the business terminal 8, tables and URLs accessed, etc. The details of the business process document table 31 will be described later. In addition, in the business process document table 31, the person (operator) engaged in the business can predetermine and register the name of the business to be recorded, etc.

[0039] Furthermore, the task recording unit 3 extracts meta-information for each task, process, and file based on the output of the document analyzing unit 4 , and stores the extracted meta-information in the meta-information table 34 .

[0040] The document analysis unit 4 extracts words (vocabulary / vocabulary) from the documents and systems used in each process, calculates the frequency of occurrence of the words, and generates a high-frequency word list 32. The document analysis unit 4 can use, for example, well-known or public techniques such as lexical analysis.

[0041] The file relationship extraction unit 5 extracts files that have a relationship between files used in each process and other files, and generates a file relationship table 33 .

[0042] The directory analysis unit 6 analyzes the location of the file used in the work and reflects the location in the work process document table 31. The location of the file can be constituted by a file path or the like.

[0043] The business process presentation unit 40 extracts the business process from the business process document table 31 and the meta information table 34 , outputs files used in each process constituting the business and related files, and assists the business processing to be performed by the user of the business terminal 8 .

[0044] The storage device 23 stores a business process document table 31, a high-frequency word list 32, a document relationship table 33, a meta-information table 34, and a dictionary 35. Details of each information will be described later.

[0045] The file server 7 is a computer that provides files to the service terminal 8. The file server 7 of this embodiment stores files in a directory structure, and for example, an example is shown in which a plurality of folders B to N are set under a folder A, and files are stored in each of the folders B to N.

[0046] In addition, the present embodiment shows an example in which the business terminal 8 refers to the file of the file server 7 or uses the data of the business system 90 to perform business. Figure 1B This is a diagram showing an example of the business system 90. The business system 90 includes one or more business systems #1 (910-1) and #2 (910-2).

[0047] Business system #1 (910-1) provides database #1 (920-1) and list #1 (930-1), and business system #2 (910-2) provides database #2 (920-2) and list #2 (930-2).

[0048] <Data>

[0049] Next, the files used by the information analysis and accumulation server 2 will be described. Figure 4 1 is a diagram showing an example of the business process document table 31. The business process document table 31 is generated by the business recording unit 3 and the catalog analyzing unit 6.

[0050] The business process document table 31 includes a business identifier 311 , a process identifier 312 , a file identifier 313 , a file name 314 , and a directory 315 in one entry.

[0051] The business identifier 311 stores an identifier for specifying a business. In this embodiment, an example is shown in which the business identifier 311 is assigned by the business record unit 3. The process identifier 312 stores an identifier for specifying a process. In this embodiment, an example is shown in which the process identifier 312 is assigned by the business record unit 3.

[0052] The file identifier 313 stores the identifier of the file assigned by the directory analysis unit 6. The file identifier 313 is a unique value in the electronic information management system 1, and can identify files with the same file name but stored in different file servers 7 or different folders. In addition, the file identifier 313 can be composed of an identifier for identifying a file or data, for example, it can be composed of a structured identifier such as tool name / company name / factory name / business name / process name / file name, which is separated by slashes from a broad viewpoint to gradually detailed content.

[0053] The name given to the file is stored in the file name 314. The directory 315 stores the location of the file such as the file server and folder or URL where the file is located.

[0054] Figure 8 3 is a diagram showing an example of the high-frequency word list 32. The high-frequency word list 32 is generated for each file by the document analysis unit 4. The high-frequency word list 32 includes a ranking 321, an extracted word 322, a word class / usage 323, and a frequency 324 in one entry.

[0055] The ranking 321 stores the ranking of the frequency of occurrence. The extracted word 322 stores the word extracted from the file by the document analysis unit 4. The word class / conjugation 323 stores the word class or conjugation (ie, word ending change) determined by the document analysis unit 4. The frequency 324 stores the frequency of occurrence of the extracted word in the file.

[0056] The high-frequency word list 32 can present words representing characteristics of the file to the user by sorting the words included in the analysis target file by their frequency of occurrence. In this embodiment, as described later, the relationship between files is compared using words ranked high in frequency of occurrence (eg, top 30).

[0057] Fig. 9 3 is a diagram showing an example of a file relationship table 33. The file relationship table 33 is generated for each file by the file relationship extraction unit 5. The file relationship table 33 stores the relationship between two files using file identifiers in the column 331 direction and file identifiers in the row 332 direction.

[0058] The relationship between two files includes relationship link, consistency of business, consistency of process, and similarity of files. The relationship link is determined according to the following business consistency, process consistency, and similarity values ​​according to the prescribed rules. If there is a relationship between two files, a circle mark is set, and if there is no relationship, an × mark is set.

[0059] The consistency of the business is set to "consistent" when two files are used in the same business, and "inconsistent" is stored otherwise. The consistency of the process is set to "consistent" when two files are used in the same process, and "inconsistent" is stored otherwise.

[0060] In this embodiment, the similarity of files is expressed, for example, by the degree of agreement (ratio) of words whose frequency of occurrence ranks at a predetermined high position (for example, the top 30) between two files. In addition, in addition to the degree of agreement of words, the similarity of words in two files can also be calculated and compared based on the similarity of word meanings. The calculation of word similarity can be performed using software such as Word2Vec, for example.

[0061] As an example of the determination of the relationship link by the file relationship extraction unit 5, it can be that if a pre-set condition is met, it is determined that there is a relationship. For example, if the business of two files is "consistent" and the similarity exceeds the prescribed first threshold Th1 (14%), it can be determined that there is a relationship. In addition, even if the process is "inconsistent", if the similarity exceeds the prescribed second threshold Th2 (49%), it can be determined that there is a relationship between the two files. In addition, there is a relationship where the first threshold Th1 < the second threshold Th2.

[0062] Thus, if the degree of match of the words with the highest frequency of appearance in the document exceeds the second threshold value Th2, a relational link is set even when the used processes do not match, thereby automatically extracting usable documents across processes.

[0063] Fig.10 3 is a diagram showing an example of the meta information table 34. The meta information table 34 includes a business ID 341, a process ID 342, a document ID 343, a directory 344, a high-frequency word list 345, and a relationship link 346 in one entry.

[0064] The business ID 341 stores an identifier for identifying the business. The business ID 341 corresponds to the business identifier 311 of the business process document table 31. The process ID 342 stores an identifier for identifying the process. The process ID 342 corresponds to the process identifier 312 of the business process document table 31. In addition, the business identifier 311 and the process identifier 312 can also be expressed by separating them with a slash, such as business 1 / process 1.

[0065] The file ID 343 stores an identifier for specifying the file. The file ID 343 corresponds to the file identifier 313 of the business process document table 31 . The directory 344 stores the location of the file. The directory 344 corresponds to the directory 315 of the business process document table 31 .

[0066] The high frequency word list 345 stores the extracted words 322 with a predetermined high appearance frequency (for example, the top 30 words) in the high frequency word list 32 generated for each document. The relationship link 346 stores the pair of documents, processes, and tasks with relationship links in the document relationship table 33 .

[0067] The meta information table 34 can store the meta information of the business, the meta information of the process, and the meta information of the file. In the first row of "Business 1" in the figure, since the process ID 342 and the file ID 343 are empty, it represents the meta information of "Business 1". The meta information of the business unit is composed of a high-frequency word list 345 and a relationship link 346.

[0068] In the second row of the figure, "Process 1" has a blank file ID 343 and a business ID 341 is "Business 1", so the meta information of "Process 1" is shown. The meta information of the process unit is composed of the business ID 341, the high-frequency word list 345 and the relationship link 346.

[0069] In the third row of the figure, "File 1" has values ​​set in business ID 341, process ID 342, and file ID 343, indicating the meta-information of "File 1". The meta-information of the file unit is composed of business ID 341, process ID 342, file ID 343, directory 344, high-frequency word list 345, and relationship link 346. Since files may be used in different processes or different businesses, multiple business IDs 341 and process IDs 342 may be set.

[0070] Fig.11 It is a diagram showing the relationship between the meta-information of tasks, processes, and documents. Fig.11 , the relationship between the business A meta information 3400-1 of the business unit, the process 1 meta information 3410-1 to the process m meta information 3410-m of the process unit, and the file 11 meta information 3420-11 to the file mn meta information 3420-mn of the file unit is shown.

[0071] The process 1 meta information 3410-1 of process 1 is information obtained by summarizing (or combining) the file 11 meta information 3420-11 to the file 1n meta information 3420-1n of the files 11 to 1n used in process 1. The same applies to the meta information 3410-2 to 3410-m of processes 2 to m. The business A meta information 3400-1 is information obtained by summarizing (or combining) the process 1 meta information 3410-1 to the process m meta information 3410-m.

[0072] Fig.12 It is a diagram that shows the contents of meta-information of tasks, processes, and documents. Fig.12 , the contents of business A meta information 3400 - 1 , process 1 meta information 3410 - 1 , and file 11 meta information 3420 - 11 to file 1n meta information 3420 - n are shown.

[0073] <Overview of the Process>

[0074] Figure 2 This is a flowchart showing an overview of the processing performed in the electronic information management system 1. This processing is performed at a predetermined time such as when a business is added, changed, or periodically. First, when the manager or the like operating the business terminal 8 instructs to start recording the business process, the business recording unit 3 of the information analysis and accumulation server 2 monitors the processing performed in the business terminal 8 and records the used files in the business process document table 31 for each process of the business (S1).

[0075] In addition, the name or identifier of the service, such as Figure 3 As shown, the name or identifier of the process may be set in advance in the information analysis and accumulation server 2 by the administrator or the like from the business terminal 8 ( S10 ).

[0076] Then, the operator who performs the work designates a process from the work terminal 8 and accesses the file, and the work recording unit 3 obtains the file name 314 and directory 315 ( Figure 3 S11), record each process of the business into the business process document table 31 ( Figure 3 In addition, the identification of the business and each process and the recording in the business process document table 31 can be automatically performed using the business process automatic generation tool such as the above-mentioned conventional example.

[0077] When the work performed by the operator is finished, the administrator or the like operating the work terminal 8 instructs the end of recording the work process. The work recording unit 3 of the information analysis and accumulation server 2 instructs the catalog analysis unit 6 to read the file for the work to be analyzed. The catalog analysis unit 6 reads the file for each process specified by each process identifier 312 with reference to the work process document table 31 for the work to be analyzed (S2).

[0078] When the catalog analysis unit 6 finishes reading the files, the document analysis unit 4 of the information analysis and accumulation server 2 analyzes each file using the dictionary 35 to extract words ( S3 ). Next, the document analysis unit 4 calculates the frequency of occurrence of the extracted words and generates a high-frequency word list 32 for each file ( S4 ).

[0079] The document analysis unit 4 uses the file relationship extraction unit 5 to compare the high-frequency word list 32 of the files used in each process of the analyzed business, calculate the similarity between the files (S5), and determine whether there is a relationship link based on the consistency of the business and processes and the similarity of the files, and generate a file relationship table 33 (S6).

[0080] When the document relationship table 33 is generated, the business recording unit 3 generates a meta information table 34 based on the business process document table 31 as the business flow, the high-frequency word list 32 , and the document relationship table 33 ( S7 ).

[0081] Based on the business process document table 31 and the meta information table 34 generated by the above processing, the information analysis accumulation server 2 can present which file should be used for each process and where the file is located to the operator who performs business using the business terminal 8 .

[0082] Furthermore, the meta information table 34 can present the related files as relationship links for each process to the operator. Regarding the files with relationship links, even if they are not used in the same process of the business process document table 31, if the similarity based on the frequency of occurrence of the words exceeds the second threshold value Th2, they can be regarded as files with high utilization value and given relationship links, so as to be automatically presented.

[0083] In this way, the information analysis and accumulation server 2 can automatically provide files used in each process and files with high utilization value by presenting the business process combination meta-information table 34, thereby improving business efficiency.

[0084] <Details of the processing>

[0085] Figure 5 to Figure 7 This is a flowchart showing the details of the processing performed in the electronic information management system 1. This processing is started based on the instruction of the administrator of the electronic information management system 1. The administrator who operates the business terminal 8 instructs the business recording unit 3 of the information analysis and accumulation server 2 to provide a business definition consisting of the name of the business or the identifier of the business, the name of the process or the identifier of each process, etc. (S21). The business recording unit 3 records the business definition received from the business terminal 8 as business information in the business process document table 31 of the storage device 23 (S22).

[0086] Next, the manager or the like instructs the start of recording of the business from the business terminal 8 (S23). The business recording unit 3 records the content (S24) of the process (S26) performed in the business terminal 8 operated by the operator, and records the information of the file of each process in the business process document table 31 of the storage device 23 (S25). In addition, the business recording unit 3 can store the log of the process performed by the business terminal 8 in the storage device 23.

[0087] The business recorder 3 gradually builds the business flow by recording the files used in each process in the business process document table 31 (S27). When the file server 7 receives an access request from the business terminal 8 (S28), it outputs the designated file (S29). The business recorder 3 monitors the processing of the business terminal 8 and records the file name and directory of the access request in the business process document table 31 (S30).

[0088] When the work in the work terminal 8 ends (S31), the work recording unit 3 ends recording of the processing performed in the work terminal 8 (S32). As described above, when the work ends, the manager or the like may explicitly instruct the work recording unit 3 to end recording.

[0089] The business recording unit 3 uses the directory analysis unit 6 to read the files used in the analysis target business, and instructs the document analysis unit 4 to analyze the document of the read file (S33). The document analysis unit 4 analyzes each file using the dictionary 35 to extract words, calculates the frequency of occurrence of the extracted words in the file, and generates a high-frequency word list 32 for each file (S34).

[0090] Next, the document analysis unit 4 refers to the dictionary 35 (S35), and if there is a word among the extracted words that is not included in the dictionary 35, it is output as a new word (S36). When the new word is output from the document analysis unit 4, the business recording unit 3 inquires the business terminal 8 whether to register the new word in the dictionary 35 (S37).

[0091] In the business terminal 8 , the administrator or the like determines whether to allow the registration of the new word ( S38 ), and instructs the dictionary 35 whether to register the new word ( S39 ).

[0092] Then, in Figure 6 In step S40, the business recording unit 3 inquires the business terminal 8 whether the business identifier 311 and process identifier 312 of the business process document table 31 generated this time are appropriate. In the business terminal 8, the manager or the like refers to the business process document table 31, and if appropriate, the business identifier 311 and process identifier 312 are determined (S41, S42), and recorded in the business process document table 31 of the storage device 23 (S43). In addition, if it is not appropriate, the manager or the like records the correction content in the business process document table 31.

[0093] The work recording unit 3 uses the directory analyzing unit 6 to query the file server 7 for the file name 314 and directory 315 of the work process document table 31 (S44). The work recording unit 3 records the directory query result in the work process document table 31 of the storage device 23 (S45, S46).

[0094] Next, the task recording unit 3 collects the task identifiers 311 and the process identifiers 312 from the task process document table 31 , generates a term list (not shown), and temporarily records it in the storage device 23 ( S45 , S46 ).

[0095] The business recording unit 3 uses the document analysis unit 4 to analyze the generated term list (S48) and extracts identifiers for comparing the relationship between the files in the business process document table 31. Next, the document analysis unit 4 reads the extracted identifiers and the common word list 32 to evaluate the relationship between the files in the business process document table 31 (S49). The document analysis unit 4 calculates the similarity for each file based on the consistency of the business, the consistency of the process, and the consistency of the high-frequency word list 32, and evaluates whether there is a relationship link for each file pair as described above (S50).

[0096] The document analysis unit 4 notifies the business recording unit 3 of the evaluation result, and the business recording unit 3 instructs the document relationship extraction unit 5 to generate the document relationship table 33 based on the evaluation result ( S51 ). The document relationship extraction unit 5 obtains the evaluation result from the document analysis unit 4 and generates the document relationship table 33 .

[0097] Then, in Figure 7 In step S52, the business recording unit 3 causes the directory analyzing unit 6 to generate a file identifier 313, and inquires the business terminal 8 whether the file identifier 313 of each file is appropriate. The manager or the like checks the file name 314, directory 315, and file identifier 313 of the business process document table 31, and determines whether the file identifier 313 is appropriately assigned (S53).

[0098] If the file identifier 313 is appropriate, the manager or the like notifies the business terminal 8 of the command to determine the file identifier 313 (S54), and the business recording unit 3 records the file identifier 313 in the business process document table 31 (S55). If it is not appropriate, the manager or the like records the correction content in the business process document table 31.

[0099] The business recording unit 3 reads the business identifier 311, the process identifier 312, the file identifier 313, the high-frequency word list 32 and the directory 315, such as Fig.12 As shown, the meta information of the file unit is generated and recorded in the meta information table 34 ( S56 ).

[0100] The business recording unit 3 reads the business identifier 311, the process identifier 312 and the meta information of the file unit in the same process, and summarizes (or combines) them into Fig.12 As shown, the meta information of the process unit is generated and recorded in the meta information table 34 ( S57 ).

[0101] The business record unit 3 reads the business identifier 311 and the meta information of the process unit in the same business, and summarizes (or combines) them into Fig.12 The meta information of the business unit is generated as shown and recorded in the meta information table 34 ( S58 ).

[0102] The business recording unit 3 presents the generated meta information table 34 to the business terminal 8 and requests a determination of whether it is appropriate (S59). In the business terminal 8, the administrator or the like refers to the meta information table 34 to determine whether it is appropriate (S60). If the meta information table 34 is appropriate, the administrator or the like sends a registration (or determination) instruction from the business terminal 8 (S61). The business recording unit 3 records the meta information table 34 in the storage device 23 based on the instruction from the business terminal 8. In addition, if it is not appropriate, the administrator or the like records the correction content in the meta information table 34.

[0103] Through the above, a business process document table 31, a high-frequency word list 32, a file relationship table 33, and a meta-information table 34 are generated, and the information analysis accumulation server 2 can present the files used in each process and the files associated with each process to the operator who uses the business terminal 8 to implement the business.

[0104] <Business support>

[0105] Fig.13 The figure is an example of an auxiliary screen showing a business process. In order to assist the business performed in the business terminal 8 using the business process document table 31 and the meta information table 34 generated by the above-mentioned processing, the business process presentation unit 40 of the information analysis and accumulation server 2 is Fig.12 The business process presentation screen 400 is output to the business terminal 8 .

[0106] The business process presentation screen 400 displayed on the display (not shown) of the business terminal 8 includes a business display unit 410 for displaying the name of the selected business, a process display unit 420 for displaying the name of the designated process, a file display unit 430 for presenting files that can be used in the designated process, an associated document extraction button 440 for extracting files with relationship links, an edit button 450 for editing the file to be presented, and a confirmation button 460 for finalizing the edited content.

[0107] The task display unit 410 displays the name of the task selected on a selection screen (not shown). The process display unit 420 displays the names of processes constituting the task, and highlights the currently selected "process 1".

[0108] The file display unit 430 can display the file name 314 of the business process document table 31 and the file of the relationship link 346 of the meta information table 34. The operator of the business terminal 8 can open the selected file by clicking the file name of the file display unit 430.

[0109] By clicking the related document extraction button 440, the relationship links between the documents accumulated in the file server 7 in the electronic information management system 1 and the files in the business process document table 31 used in the currently selected process can be recalculated to extract files with newly generated relationship links.

[0110] When the related document extraction button 440 is clicked in the business terminal 8, the information analysis and accumulation server 2 executes Figure 2 In steps S5 to S7 shown, new files related to the files used in the currently selected process are extracted, and an icon of “new” 431 is displayed on the file display unit 430. The newly extracted relationship links are added to the file relationship table 33 and the meta information table 34.

[0111] The content of the file display unit 430 can be edited by clicking the edit button 450 , and the edited content can be confirmed by clicking the confirm button 460 , and reflected in the business process document table 31 , the file relationship table 33 , and the meta information table 34 .

[0112] By using the business flow presentation unit 40 of the information analysis and accumulation server 2 , the operator of the business terminal 8 can correctly perform business by opening a file in the file display unit 430 of the business flow presentation screen 400 without being concerned about the location of the file required in each process.

[0113] Thus, the work efficiency can be improved by reducing the labor of searching for files, etc. Furthermore, by operating the related document extraction button 440, the relationship link associated with the files used in each process can be updated at any time, and the files added or updated in the file server 7 that are related to the files of the process can be extracted at any time.

[0114] As a result, the information analysis and accumulation server 2 can quickly integrate new files into the business process, thereby maintaining the freshness of the business process and improving business efficiency.

[0115] By the above-mentioned structure, the meta information of the business flow, process, and document is accumulated in the information analysis and accumulation server. In addition to the information having relevance through the information analysis and accumulation server, when the person engaged in the business (operator) performs the business, when manually searching for the desired information using the search function separately installed in the business terminal 8, the meta information table 34 can also play an effect and import the results beyond the search object. In this way, the operator can manually import the knowledge about the business.

[0116] Example 2

[0117] Fig.14 The second embodiment is shown, which is the embodiment 1 described above. Figure 2 In the file relationship extraction shown in step S6, the file relationship extraction unit 5 generates an analysis screen 500 that visualizes the relationship between files and outputs the screen to the business terminal 8. The other configurations are the same as those of the first embodiment.

[0118] In this embodiment, the document analysis unit 4 generates a word correlation graph in addition to the high-frequency word list 32 for each file, and the file relationship extraction unit 5 displays the related words of the word correlation graph of the two files to be compared on the analysis screen 500 .

[0119] In addition, regarding the generation of the word correlation graph, a well-known or publicly known technology can be applied, and continuous words in the comparison target document can be used as vertices, and the word correlation can be displayed as a network by connecting them.

[0120] The analysis screen 500 includes an area for displaying analysis results 510 -A and 510 -B of file A and file B, which are analysis targets, and relationship link information 520 of the two files.

[0121] The area of ​​the file A analysis result 510-A includes an area for displaying the high-frequency word list 32-A of file A and a word correlation diagram 530-A of file A. The area of ​​the file B analysis result 510-B includes an area for displaying the high-frequency word list 32-B of file B and a word correlation diagram 530-B of file B.

[0122] Relationship link information 520 is displayed between the document A analysis result 510-A and the document B analysis result 510-B. The relationship link information 520 displays the similarity of words, the degree of coincidence of business names, and the degree of coincidence of process names between the two documents.

[0123] The relationship between words of two documents determined to be related can be visualized using the frequency of occurrence and the connection relationship of the words through the analysis screen 500. Thus, an operator or manager using the business terminal 8 can grasp the words with high frequency of occurrence and understand the main idea of ​​the entire document.

[0124] Furthermore, for the relationship links automatically constructed by the information analysis accumulation server, it is also possible to record the "useful" and "wrong" feedback from the operator. In this way, more important business information can be displayed preferentially. For example, the score of the relationship link increases due to "useful" feedback, and it is presented preferentially. On the contrary, the score of the relationship link decreases due to "wrong" feedback, and the priority is reduced. Such "priority" based on feedback from the operator can be achieved by placing it in the meta-information table. The "priority" is an indicator that determines whether to display the relationship link preferentially. As an example, it is a value that increases or decreases according to the rules based on the feedback such as "useful" and "wrong" given by the operator.

[0125] Summary

[0126] As described in the above-mentioned embodiments 1 and 2, the electronic information management system 1 obtains the files used in each of the multiple processes constituting the business, analyzes the words appearing in each file, and automatically generates relationship links by treating the files with high similarity as related files, and automatically accumulates the relationship links between the files and the storage places (locations) of the files in association with the processes in the meta-information table 34. In this way, it is possible to provide information on the files required for each process constituting the business and the files with relationship links, so that the business efficiency can be improved by reducing the labor of searching for the required files. In addition, the latest files can be provided through relationship links, and the business can be implemented using the latest information. In addition, the latest files can also be displayed preferentially. In addition, the electronic information management system 1 can not only shorten the time for searching for scattered files, but also continuously share information on the job and pass on skilled skills.

[0127] The electronic information management system 1 of each of the above-mentioned embodiments can adopt the following structure.

[0128] (1) An information analysis method, wherein an information analysis server (information analysis accumulation server 2) having a processor (21) and a memory (22) analyzes files used in a business terminal (8) connected via a network (9), characterized in that it includes: a first step, the information analysis server obtains the file (314) used in a plurality of processes (process identifier 312) constituting a business (business identifier 311) for each process (312) and stores the process (312), the file (314) and the location (directory 315) of the file in process document information (business process document table 31) in association with each other; a second step, the information analysis server (2) analyzes words contained in the file (314) and regards files with similar words as associated files to generate relationship links; and a third step, the information analysis server (2) stores the file (314) used in each process (312), the location (315) of the file and the relationship links in meta information (meta information table 34).

[0129] According to the above configuration, the information analysis and accumulation server 2 can provide the location (directory 315) of the files required for each process constituting the business and the information of the files having relationship links, thereby reducing the labor of the operator of the business terminal 8 to search for the required files and improving the business efficiency.

[0130] (2) The information analysis method described in (1) above is characterized in that: in the second step, the frequency of occurrence of the word is calculated for each file, and the ratio of the words with the same frequency of occurrence between files is calculated as the similarity. If the similarity exceeds a specified first threshold value (Th1), it is judged that the files are related and a relationship link is generated.

[0131] According to the above configuration, the information analysis and accumulation server 2 compares words with high frequency of appearance between documents and sets a relationship link if the degree of word matching exceeds the first threshold Th1, thereby automatically extracting documents that can be used in each process.

[0132] (3) The information analysis method described in (2) above is characterized in that: in the second step, even if the usage process (312) of the file (314) is inconsistent between files, if the similarity exceeds a specified second threshold Th2 that is larger than the first threshold Th1, it is judged that the files are related and a relationship link is generated.

[0133] According to the above configuration, if the degree of agreement between documents of words with high frequency of occurrence exceeds the second threshold Th2, the information analysis and accumulation server 2 sets a relationship link even if the processes using the documents do not match, thereby automatically extracting usable documents across processes.

[0134] (4) The information analysis method described in (2) above is characterized in that: in the third step, the meta-information includes: meta-information of the file unit that stores the relationship link, the location of the file (315) and the frequency of occurrence of the word according to the file unit; and meta-information of the process unit that stores the relationship link, the location of the file and the frequency of occurrence of the word according to each process.

[0135] According to the above structure, the operator using the business terminal 8 can obtain the files that can be used in the process from the relationship link by referring to the meta-information of the process unit from the meta-information table 34 of the information analysis accumulation server 2, and the location of the file of the relationship link can be obtained from the meta-information of the file unit, so that the files that can be used in the process can be easily accessed.

[0136] (5) The information analysis method described in (4) above is characterized in that: in the third step, the meta-information of the process (312) unit is generated by aggregating or combining the meta-information of the file unit.

[0137] According to the above configuration, the business terminal 8 can obtain a file that can be used in the process from the relationship link by referring to the meta-information of the process provided by the information analysis accumulation server 2 .

[0138] In addition, the present invention is not limited to the above-mentioned embodiments, and includes various modified examples. For example, the above-mentioned embodiments are described in detail in order to explain the present invention in an easy-to-understand manner, and are not limited to all structures that must be described. In addition, a part of the structure of a certain embodiment can be replaced with the structure of other embodiments, and the structure of other embodiments can be added to the structure of a certain embodiment. In addition, for a part of the structure of each embodiment, the addition, deletion, or replacement of other structures can be applied individually or in combination.

[0139] In addition, for each of the above structures, functions, processing parts, and processing units, for example, a part or all of them can be implemented by hardware by designing in an integrated circuit. In addition, each of the above structures and functions can also be implemented by software by interpreting and executing programs that implement each function by a processor. Information such as programs, tables, and files that implement each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

[0140] In addition, the control lines and information lines are shown as necessary for explanation, and not all the control lines and information lines on the product are necessarily shown. In fact, it can be considered that almost all structures are connected to each other.

Claims

1. An information analysis method, wherein an information analysis server having a processor and a memory analyzes a file used in a business terminal connected via a network, characterized in that: include: In the first step, the information analysis server obtains the files used in the plurality of processes constituting the business for each process and stores the processes, the files, and the locations of the files in process document information in association with each other; In the second step, the information analysis server analyzes the words contained in the files and regards the files with similar words as associated files to generate relationship links; and In a third step, the information analysis server stores the files used in each of the processes, the locations of the files, and the relationship links in meta information.

2. The information analysis method according to claim 1, characterized in that: In the second step, The frequency of occurrence of the word is calculated for each file, and the ratio of the words with the highest frequency of occurrence that are consistent between files is calculated as the similarity. If the similarity exceeds a first threshold, the files are determined to be related and a relationship link is generated.

3. The information analysis method according to claim 2, characterized in that: In the second step, Even when the usage process of the files does not match between files, if the similarity exceeds a predetermined second threshold value that is larger than the first threshold value, the files are determined to be related and a relationship link is generated.

4. The information analysis method according to claim 2, characterized in that: The meta information includes: The meta-information of the file unit stores the relationship link, the position of the file and the frequency of occurrence of the word for each file unit; and the meta-information of the process unit stores the relationship link, the position of the file and the frequency of occurrence of the word for each process unit.

5. The information analysis method according to claim 4, characterized in that: In the third step, The meta-information on a process basis is generated by aggregating or combining the meta-information on a file basis.

6. An information analysis server having a processor and a memory, characterized in that: include: A business recording unit that obtains files used in a business terminal for each process constituting a business, and stores the process, the file, and the location of the file in association with each other in process document information; a document analysis unit that analyzes words contained in the document; and The document relationship extraction unit generates a relationship link by taking the documents with similar words as related documents, wherein: The work recording unit stores the files used in each of the processes, the locations of the files, and the relationship links in meta information.

7. The information analysis server according to claim 6, characterized in that: The document analysis unit calculates the frequency of occurrence of the word for each document. The document relationship extraction unit calculates a ratio of words that are consistent between the documents among the words with a predetermined high appearance frequency as similarity, and determines that the documents are related and generates a relationship link if the similarity exceeds a predetermined first threshold.

8. The information analysis server according to claim 7, characterized in that: Even when the usage process of the files does not match between the files, the file relationship extraction unit determines that the files are related and generates a relationship link if the similarity exceeds a predetermined second threshold value that is larger than the first threshold value.

9. The information analysis server according to claim 7, characterized in that: The meta information includes: The meta-information of the file unit stores the relationship link, the position of the file and the frequency of occurrence of the word for each file unit; and the meta-information of the process unit stores the relationship link, the position of the file and the frequency of occurrence of the word for each process unit.

10. The information analysis server according to claim 9, characterized in that: The work recording unit generates the process-based meta-information by aggregating or combining the file-based meta-information.

11. An electronic information management system comprising: A first computer storing files; a second computer that uses the file in business; an information analysis server that analyzes the file used by the second computer; and a network connecting the first computer, the second computer and the information analysis server, The electronic information management system is characterized by: The information analysis server comprises: a work recording unit that obtains a file used in the second computer for each process constituting a work, and stores the process, the file, and the location of the file in process document information in association with each other; a document analysis unit that analyzes words contained in the document; and The document relationship extraction unit generates a relationship link by taking the documents with similar words as related documents, wherein: The work recording unit stores the files used in each of the processes, the locations of the files, and the relationship links in meta information.

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