JP4946002B2 - Information analysis processing apparatus, information analysis processing method, and computer program - Google Patents

Description

  The present invention performs analysis of an information transmission process between document users by, for example, analysis processing of an access log for an electronic document stored in a database, and information analysis that facilitates a person-to-person relationship and organization analysis The present invention relates to a processing device, an information analysis processing method, and a computer program.

  Various analyzes are performed by executing analysis of document data stored in the database. For example, Patent Document 1 discloses a configuration for managing work results using schedule information, result information, and product files of work processes stored in a database. Patent Document 2 discloses a configuration for efficiently managing documents by associating user activity attribute information with documents. Further, Patent Document 3 discloses a configuration in which a deletion target document is selected by statistical processing of access records for a document storage database.

  Various information is acquired by analyzing the document data stored in the database or the access status, and is used for document management and organization management. However, for example, in the configurations described in Patent Documents 1 and 2, it is necessary to input information related to document use (use purpose, schedule, etc.) in advance or after the fact. The configuration of Patent Document 3 uses only statistical information without using such information.

In a configuration in which information related to document use (purpose of use, schedule, etc.) is input in advance or afterwards, it is possible to accurately acquire information reflecting the information transmission process between users. Since it is necessary, the work is not only complicated, but there is a problem that only a known work process can be handled. Further, in the configuration described in Patent Document 3 that executes only statistical processing, additional information input is unnecessary and processing can be made more efficient. However, it can be used only for deleting documents that are not frequently accessed, and access is executed. It cannot be applied to detailed analysis such as analyzing the information transmission relationship between users or between different users.
JP 2002-32225 A JP 2005-10988 A JP 2005-18225 A

  As described above, various studies have recently been conducted on document data stored in a database and information acquisition by access analysis. However, as described above, the conventional analysis method requires prior information input when applied to analysis of information transmission between users, etc., and in a configuration where access by an unspecified organization or user is performed. There was nothing applicable to the analysis of information transmission. The present invention solves these problems. For example, by using document usage history information (access log, etc.), it is possible to efficiently and accurately analyze an information distribution process even in a configuration accessed by an unspecified organization or user. An information analysis processing apparatus, an information analysis processing method, and a computer that perform an analysis of an information transmission process between document users and facilitate a person-to-person relationship and organization analysis The purpose is to provide a program

  The first aspect of the present invention obtains document access user information and access document information from an access log recording access history information for an electronic document storage database, and analyzes the correspondence between the document creation user and the document reference user. Information transmission corresponding to the user of interest based on the management information including the transmission path identification means for identifying the information transmission path via the document, the information transmission path information identified by the transmission path identification means, and the user affiliation information The information analysis processing apparatus includes a degree-of-transfer calculating means for calculating the degree.

  According to this configuration, it is possible to analyze the transmission route of information via a document by using access history information for the electronic document storage database, and analyze the user relationship, the document aggregation level and the deployment level of each user. Etc. can be efficiently analyzed.

  Furthermore, in one embodiment of the information analysis processing apparatus of the present invention, the transmission path specifying means is an identifier of a user who has executed access to the electronic document storage database and executed document reference processing based on the access log. Reference document information in which a reference user identifier is associated with a document identifier that is an identifier of an access document of the reference user, and a creation user identifier that is an identifier of a creation user of the access document and the reference user identifier are associated with each other Reference relationship information is generated, and analysis processing of an information transmission path via a document is executed based on the reference document information and the reference relationship information.

  According to this configuration, the reference document information in which the reference user identifier and the document identifier are associated with each other, and the reference relationship information in which the document creation user identifier and the reference user identifier are associated with each other, the access history information for the electronic document storage database. It is possible to automatically generate the information and calculate an efficient information transmission path and degree of transmission.

  Furthermore, in one embodiment of the information analysis processing apparatus of the present invention, the transmission degree calculation means sets the information transmission degree corresponding to the attention user as a range in which the attention user can obtain information as a collectable range [ NA] and the information aggregation degree information as a ratio of the document reference record that is the information acquisition record from the collectable range [NA], and the expandable range [NP that is set as a range where the attention user can expand the information ] And the information development degree information as a ratio of the document development record that is the information development record for the expandable range [NP].

  According to this configuration, by applying management information including user affiliation information, it is possible to efficiently calculate information aggregation degree information and information development degree information corresponding to the user of interest.

  Furthermore, in one embodiment of the information analysis processing apparatus of the present invention, the information analysis processing apparatus has an analysis condition input means for inputting an analysis processing condition, and the transmission path specifying means is connected via the analysis condition input means. The access log to be analyzed is selected according to the input analysis conditions, and the analysis processing based on the selected access log is executed.

  According to this configuration, in the analysis of the information aggregation degree information and the information development degree information, an analysis based on an arbitrary setting condition such as a period or user designation is possible.

  Furthermore, in one embodiment of the information analysis processing device of the present invention, the information analysis processing device has display means for generating display data based on the analysis processing result, and the display means is document creation information corresponding to the user. Or it is the structure which performs the process which produces | generates and displays the time series data containing at least any information of document reference information.

  According to this configuration, the time-series data of document creation information and document reference information corresponding to the user is generated and displayed, so that it is possible to easily grasp the user's document creation, reference time, concentration, etc. It becomes.

  Furthermore, in one embodiment of the information analysis processing device of the present invention, the information analysis processing device has display means for generating display data based on the analysis processing result, and the display means has an information aggregation degree corresponding to a user. The present invention is characterized in that processing for generating and displaying time-series data including at least one of information and information development degree information is executed.

  According to this configuration, the time series data of the information aggregation degree information or the information expansion degree information corresponding to the user is generated and displayed, so that the importance of the user on the information transmission route can be easily analyzed. It becomes possible.

  Furthermore, the second aspect of the present invention is an information analysis processing method executed in an information analysis processing apparatus, wherein the transmission path specifying means uses document access user information from an access log in which access history information for the electronic document storage database is recorded. , Acquiring access document information, analyzing a correspondence between a document creation user and a document reference user, and specifying an information transmission path via the document; and an information transmission path identified in the transmission path identification step The information analysis processing method includes a transmission degree calculation step of calculating a transmission degree of information corresponding to the user of interest in the transmission degree calculation means based on management information including information and user affiliation information.

  According to this configuration, it is possible to analyze the transmission route of information via a document by using access history information for the electronic document storage database, and analyze the user relationship, the document aggregation level and the deployment level of each user. Etc. can be efficiently analyzed.

  Furthermore, in one embodiment of the information analysis processing method of the present invention, the transmission path specifying step is an identifier of a user who executed access to the electronic document storage database and executed document reference processing based on the access log. Reference document information in which a reference user identifier is associated with a document identifier that is an identifier of an access document of the reference user, and a creation user identifier that is an identifier of a creation user of the access document and the reference user identifier are associated with each other Generating reference relationship information, and performing analysis processing of an information transmission path via the document based on the reference document information and the reference relationship information.

  According to this configuration, the reference document information in which the reference user identifier and the document identifier are associated with each other, and the reference relationship information in which the document creation user identifier and the reference user identifier are associated with each other, the access history information for the electronic document storage database. It is possible to automatically generate the information and calculate an efficient information transmission path and degree of transmission.

  Furthermore, in an embodiment of the information analysis processing method of the present invention, the transmission degree calculation step includes an aggregateable range in which the attention user can obtain information as the information transmission degree corresponding to the attention user. NA] and the information aggregation degree information as a ratio of the document reference record that is the information acquisition record from the collectable range [NA], and the expandable range [NP that is set as a range where the attention user can expand the information ] And information expansion degree information as a ratio of the document expansion record that is the information expansion record for the expandable range [NP].

  According to this configuration, by applying management information including user affiliation information, it is possible to efficiently calculate information aggregation degree information and information development degree information corresponding to the user of interest.

  Furthermore, in one embodiment of the information analysis processing method of the present invention, the information analysis processing method further includes an analysis condition input step of inputting an analysis processing condition via an analysis condition input means, and the transmission path specifying step Selects an access log to be analyzed according to an analysis condition input via the analysis condition input means, and executes an analysis process based on the selected access log.

  According to this configuration, in the analysis of the information aggregation degree information and the information development degree information, an analysis based on an arbitrary setting condition such as a period or user designation is possible.

  Furthermore, in an embodiment of the information analysis processing method of the present invention, the information analysis processing method further includes a display data generation step of generating display data based on the analysis processing result in the display means, and the display data generation The step is a step of executing a process of generating and displaying time-series data including at least one of document creation information and document reference information corresponding to the user.

  According to this configuration, the time-series data of document creation information and document reference information corresponding to the user is generated and displayed, so that it is possible to easily grasp the user's document creation, reference time, concentration, etc. It becomes.

  Furthermore, in an embodiment of the information analysis processing method of the present invention, the information analysis processing method further includes a display data generation step of generating display data based on the analysis processing result in the display means, and the display data generation The step is a step of executing a process of generating and displaying time-series data including at least one of information aggregation degree information and information development degree information corresponding to the user.

  According to this configuration, the time series data of the information aggregation degree information or the information expansion degree information corresponding to the user is generated and displayed, so that the importance of the user on the information transmission route can be easily analyzed. It becomes possible.

  Furthermore, a third aspect of the present invention is a computer program for executing an information analysis process in an information analysis processing device, and a document access from an access log in which access history information for an electronic document storage database is recorded in a transmission path specifying unit. User information and access document information are acquired, the correspondence between the document creation user and the document reference user is analyzed, a transmission path specifying step for specifying an information transmission path via the document, and specifying in the transmission path specifying step A computer program for executing a transmission degree calculation step of calculating a transmission degree of information corresponding to the user of interest in a transmission degree calculation means based on information transmission route information and management information including user affiliation information It is in.

  According to this configuration, it is possible to analyze the transmission route of information via a document by using access history information for the electronic document storage database, and analyze the user relationship, the document aggregation level and the deployment level of each user. It is possible to provide a computer program that efficiently analyzes the above.

  Note that the computer program of the present invention is a recording medium provided in a computer-readable format for a computer system capable of executing various program codes, for example, a recording medium such as a CD, FD, or MO. A computer program that can be provided by a medium or a communication medium such as a network. By providing such a program in a computer-readable format, processing corresponding to the program is realized on the computer system.

  Other objects, features, and advantages of the present invention will become apparent from a more detailed description based on embodiments of the present invention described later and the accompanying drawings. In this specification, the system is a logical set configuration of a plurality of devices, and is not limited to one in which the devices of each configuration are in the same casing.

  According to the configuration of an embodiment of the present invention, it is possible to analyze a transmission path of information via a document based on an access log to an electronic document database storing an electronic document, It is possible to efficiently analyze the user's document aggregation degree, development degree, and the like. Specifically, the reference document information in which the reference user identifier and the document identifier are associated with each other, and the reference relationship information in which the document creation user identifier and the reference user identifier are associated with each other from the access history information for the electronic document storage database. By generating and applying management information including user affiliation information, it is possible to efficiently calculate information aggregation degree information and information development degree information corresponding to the user of interest.

  Details of the information analysis processing apparatus, the information analysis processing method, and the computer program of the present invention will be described below with reference to the drawings.

  First, an outline of processing executed by the information analysis processing apparatus of the present invention will be described with reference to FIGS. FIG. 1A shows a process in which, for example, a user 10 who conducts research and development in an organization in a company acquires information from various information sources A to C and generates new information. For example, a document as an information source has a creator.

  As shown in FIG. 1B, the user 10 of interest acquires information from a plurality of information providers 21 to 23, and the new information generated by the user 10 is used by the information user 24. . Thus, utilization of a document can be considered as information transmission between a creator and a user through document sharing.

  In the present invention, the user 10 of interest is set as the center, the information transmission (information input) to the user 10 is set to [aggregation], and the information transmission (information output) from the user of interest is set to [development]. Define and aggregate and perform deployment situation analysis.

  A specific example will be described with reference to FIG. FIG. 2A shows the organizational structure of a certain company. The organization A and the organization B exist, and the manager of the organization A is the attention user 31. The user 31 of interest inputs various information from the members of the organization A. This is information transmission (information input) to the user 31, that is, [aggregation]. The notable user 31 who is the manager of the organization A outputs information to the constituent members 32 of the other organization B, that is, performs [deployment].

  For example, in a process in which a manager collects member reports and creates a monthly report and reports the summary and progress to the managers of other related departments, such information aggregation and expansion processes are executed. Furthermore, there may be a case where the manager aggregates information of a plurality of related departments and expands the information to members, or a case where the manager aggregates information of a plurality of related departments and expands the information to members. Thus, the aggregation and development of information occurs in various situations.

  In the information analysis processing apparatus of the present invention, such information aggregation and development is executed mainly by analyzing access logs for documents stored in a document database. As a result of this analysis, for example, the level of information aggregation and development level of the user of interest or organization can be evaluated according to the evaluation criteria as shown in FIG.

The evaluation shown in FIG.
(1) Low intensity and low deployment: Inactive (2) Low intensity and high deployment: Stand play (3) High intensity and low deployment: indigestion (4) High intensity High degree: Keyman These are four evaluations. For example, when analyzing an access log for a document stored in a certain document database, a certain user is identified, and based on the analysis of the access log, By evaluating the degree of development, an evaluation result as shown in FIG. 2B can be obtained.

  It should be noted that the user is not limited to being configured as an individual, and the user can be set as one organization and the organization can be evaluated by the same method. For example, it is possible to evaluate the degree of information aggregation and information deployment in a certain organization, and analyze the appropriate activity of the whole organization, the degree of agreement with the expected role, the possibility of existence of alternative means, etc. Become.

  Next, a configuration example of a network system as an information analysis execution environment according to the present invention will be described with reference to FIG. The network system is, for example, a wide area network (WAN) constructed across a plurality of offices in a company, and a plurality of user terminals (clients) 51 to 53 are connected by a network 60 as shown in FIG. Has been. A document management system 70 is connected to the network 60, and the user terminals 51 to 53 can acquire or browse electronic documents stored in the document management system 70.

  An information analysis processing apparatus 100 is connected to the document management system 70. The information analysis processing device 100 analyzes the access status from the user terminals (clients) 51 to 53 to the document management system 70.

  FIG. 4 shows the configuration of the information analysis processing apparatus 100. As shown in FIG. 4, the information analysis processing apparatus 100 includes an access log collecting unit 101, an access log database 102, an access log totaling unit 103, a management information collecting unit 104, a management information database 105, a management information totaling unit 106, and an analysis condition input. A means 107, a transmission path identification means 108, a transmission degree calculation means 109, a display means 110, and an organization information input means 111;

  The access log collection unit 101 collects access log data of a client (user) who has accessed an electronic document stored in the document management system 70 from the document management system 70. The access log data includes information such as access user identification information, access document identification information, and access date and time. Details of the access log and analysis processing will be described later.

  In the access log database 102, the access log data collected by the access log collection unit 101 is accumulated. By applying these, it is possible to speed up offline analysis and processing. The access log totaling means 103 acquires the access log information accumulated in the access log database 102, and performs a process of primarily totaling data necessary for analysis based on the access log.

The management information collection unit 104 collects document / user management data from the document management system 70. The document management system 70 manages management information related to documents stored in the document management system, for example, document information such as a document name, a creator, a creation date and time, and a user permitted to access the document management system 70 User information about the user, for example, user information such as user name and affiliation is held and managed. The management information collection unit 104 collects these document / user management data from the document management system 70.
The management information database 105 stores the document / user management data acquired from the document management system 70 by the management information collection unit 104. By applying these, it is possible to speed up offline analysis and processing. The management information totaling means 106 acquires document / user management data stored in the management information database 105, and executes a primary totalization process of data necessary for analysis.

  The analysis condition input means 107 performs each setting condition, parameter, for example, period, applied by the operator (analyst) when executing analysis processing based on the access log and management information acquired from the document management system 70. It is a user interface for inputting a target user, a target organization, and the like.

  The transmission path specifying unit 108 executes processing for specifying the information transmission path from the primary total data output by the access log totaling unit 103 and the management information totaling unit 106 according to the setting condition input in the analysis condition input unit 107. .

  The transmission degree calculation unit 109 calculates the influence and efficiency of the user on the route on the information transmission according to the transmission route information specified by the transmission route specifying unit 108. The display means 110 is constituted by a display or the like, and presents the calculation result of the transmission degree calculation means 109 to the analyst. The organization information input unit 111 is a designation information input unit having an arbitrary (particularly informal) organization configuration. For example, the organization information input unit 111 is different from the management information recorded in the document management system 70. For example, setting information for changing the granularity of analysis, such as processing for identifying a formal organization, is input.

  Next, a configuration example of the access log stored in the access log database 102 of the information analysis processing apparatus 100 and the management information stored in the management information database 105 will be described with reference to FIG.

  FIG. 5A shows a data configuration example of an access log stored in the access log database 102. As access log information for a document stored in the document management system 70, an access ID, an access date and time, a user ID that is an identifier of the user who executed the access, and a document ID that is a document identifier of the access target document are associated with each other. Has a data structure.

  FIG. 5B shows the configuration of management information stored in the management information database 105. The management information is composed of a plurality of tables. (B1) is a user management information table, which is configured by data in which a user ID, a user name, and an affiliation ID as an identifier of the user's affiliation are associated with each other. (B2) is a document management information table in which data in which a document ID, a document name, and a document creator are associated is stored. Furthermore, there is an organization management table shown in (b3) as auxiliary user management information, which has data in which an affiliation ID is associated with a department name.

  Further, FIG. 5C shows an example of informal organization information data input to the organization information input means 111 shown in FIG. As described above, this is informal organization information such as informal groups, projects, and tasks different from the management information recorded in the document management system 70. In the example shown in FIG. 5C, a data example in which a team ID as a team identifier is associated with a user ID as identification information of a user belonging to the team is shown. In addition, not only such data but also various data can be input to the organization information input unit 111 shown in FIG.

  These pieces of information shown in FIG. 5 are acquired from the database by the access log totaling unit 103 and the management information totaling unit 106. The access log totaling unit 103 and the management information totaling unit 106 acquire information necessary for the processing of the transmission path specifying unit 108 from each of the databases 102 and 105, and further execute processing performed by the transmission path specifying unit 108 as necessary. A supplementary tabulation process is performed as a pre-process. The transmission path specifying unit 108 acquires each piece of information shown in FIG. 5 via the access log totaling unit 103 and the management information totaling unit 106, and specifies the information transmission path.

  Details of the transmission path specifying process executed by the transmission path specifying means 108 will be described with reference to FIG. FIG. 6 is a flowchart showing the outline of the processing procedure of the transmission path specifying process executed by the transmission path specifying means 108. The transmission path specifying means 108 roughly divides and executes two processes. First, in step S101, [document reference information] is created as document reference user information. Next, in step S102, [reference relationship information] is created as document creation user and document reference user relationship information. With these two processes, the relationship between the document reference user and the creation user is analyzed, and the process of specifying the information transmission path via the document is executed.

  Detailed procedures of the [document reference information] creation process in step S101 and the [reference relationship information] creation process in step S102 will be described later with reference to the flowchart shown in FIG. First, referring to FIG. 7, the processing executed by the transmission path specifying means 108, that is, the [document reference information] creation processing in step S101 and the [reference relationship information] creation processing in step S102, transmission based on these information An outline of the route specifying process will be described.

  7A shows document reference information, FIG. 7B shows reference relationship information, and FIG. 7C shows an example of processing for specifying an information transmission path through a document based on these pieces of information. As shown in FIG. 7A, the document reference information is data obtained by extracting a correspondence relationship between a document identifier (Doc-9987, Doc-8765, etc.) and an identifier (User-123) of a user who refers to these documents. This is data indicating which document is referred to by which user.

  FIG. 7B shows data obtained by extracting the correspondence between the document creation user and the reference user of the document. For example, FIG. 7B shows that a document created by user ID = User-987 is referred to by user ID = User-123.

  For example, when the target user is set as user ID = User-123, the document referenced by the user ID = User-123 can be specified by the document reference information shown in FIG. 7A, and further, 7 (b) The document creator referred to by the user ID = User-123 is discriminated based on the document reference information shown in FIG. 5B, and the user ID = User-123 analyzes where the information (document creator) is input (aggregated). Can do.

  Further, the reference user of the generated document (Doc-1234) with the user ID = User-123 is determined from these pieces of information, and where the document (Doc-1234) created by the user ID = User-123 is (document referrer). ) Can be analyzed.

  FIG. 7C is a diagram summarizing the aggregation and development information as input / output of such information. When the user of interest is User-123, the user of interest (User-123) is created by the user (User-987) created document (Doc-9976) and the user (User-876) created document (Doc-8765, Doc). -7654) was referred to, that is, aggregated, and a document (Doc-1234) was created based on the information. Further, it is possible to analyze that the document (Doc-1234) created by the user of interest (User-123) is referred to by the user (User-234), that is, expanded.

  In this way, the transmission path specifying unit 108 creates [document reference information] as document reference user information, creates [reference relationship information] as document creation user and document reference user relationship information, and creates these creation information. Based on the information, a process for specifying an information transmission path via the document is executed.

  With reference to FIG. 8, a detailed sequence of the [document reference information] creation process executed by the transmission path specifying unit 108 will be described. FIG. 8A shows a flowchart of [Document reference information] creation processing, and FIG. 8B shows an example of [Document reference information]. The [Document Reference Information] creation processing sequence shown in FIG.

First, in step S201,
Document reference information [DTAB]
Access log [LOG]
Management information [MGT]
Perform the initial setting.

In step S202, it is determined whether or not there is an access log in the analysis data. If access log information is included, the process proceeds to step S203.
Select the processing target access log entry [L]
[U] is the document reference user recorded in the entry L.
The reference document recorded in entry L is [D].
The variable setting process is performed.

  Next, in step S204, it is searched whether the entry of the document reference user [U] recorded in the entry L has been set in the document reference information [DTAB]. If it is determined in step S205 that the user [U] entry is not set in the document reference information [DTAB], the process advances to step S206 to set the user [U] entry in the document reference information [DTAB].

  When the user [U] has already been set as the reference user of the reference document [D] in the document reference information [DTAB], or after setting in step S206, the process proceeds to step S207, and the user [U] in the document reference information [DTAB] The reference document [D], that is, the document ID is recorded in the entry U]. These processes are executed for all data to be analyzed in the access log to create document reference information.

  As a result of this processing, the document reference information shown in FIG. 8B, that is, correspondence data between the user ID of each user and the document ID of the document referred to by the user is generated.

  Next, with reference to FIG. 9, a detailed sequence of the [reference relationship information] creation process executed by the transmission path specifying unit 108 will be described. FIG. 9A shows a flowchart of the creation process of [reference relation information], and FIG. 9B shows an example of [reference relation information]. A process of creating [reference relationship information] shown in FIG. 9A will be described.

First, in step S251,
Reference relationship information [UTAB]
Management information [MGT]
Perform the initial setting. The management information [MGT] is user management information and document management information shown in FIG.

In step S252, one entry of the previously generated document reference information [DTAB] is acquired as a processing target, and this is set as [DENT]. In step S253, it is determined whether or not there is an unprocessed entry in the document reference information [DTAB]. If an unprocessed entry is included, the process proceeds to step S254.
The document recorded in the processing target entry of the document reference information [DTAB] is [D].
[O] is the document creation user recorded in the management information [MGT].
And set the
An entry of the document creation user [O] is searched for the generated reference relation information [UTAB].

  If it is determined in step S255 that the entry of the document creation user [O] is not set in the reference relationship information [UTAB], the process proceeds to step S256, and the reference relationship information [UTAB] contains the document creation user [O]. Set the entry.

  When the entry of the document creation user [O] is set in the reference relationship information [UTAB], or after setting in step S256, the process proceeds to step S257, and the document creation user [O] in the reference relationship information [UTAB] The reference user [U], that is, the user ID of the reference user is recorded in the entry. These processes are executed for all entries of document reference information [DTAB] to create document reference information.

  As a result of this processing, the reference relationship information shown in FIG. 9B, that is, correspondence data between the user ID of the document creation user and the user ID of the reference user who refers to the document created by the document creation user is generated. .

  Next, the processing of the transmission degree calculation means 109 shown in FIG. 4 will be described with reference to the flowchart shown in FIG. The transmission degree calculation unit 109 calculates the influence and efficiency of the user on the route on the information transmission according to the transmission route information specified by the transmission route specifying unit 108.

Each step of the flow of FIG. 10 will be described. First, in step S301,
Reference relationship information is [UTAB],
Transfer analysis information [PTAB],
Management information [MGT]
Perform the initial setting. The reference relationship information [UTAB] is data generated by the transmission path specifying unit 108 according to the processing described above with reference to FIG. 9, and the transmission analysis information [PTAB] is transmitted by the transmission degree calculating unit 109 according to this processing flow. Data to be generated. The management information [MGT] is user management information and document management information shown in FIG.

  In step S302, one entry of the reference relation information [UTAB] generated previously is acquired as a processing target, and this is set as [UENT]. In step S303, it is determined whether or not there is an unprocessed entry in the reference relationship information [UTAB]. If no unprocessed entry is included, the process proceeds to step S309. If an unprocessed entry is included, the process proceeds to step S304.

In step S304,
The document creation user recorded in the processing target entry of the reference relation information [UTAB] is [O],
The document reference user recorded in the processing target entry of the reference relation information [UTAB] is [U],
Execute the setting.
Next, in step S305,
An entry of the document creation user [O] is searched for the generated transmission analysis information [PTAB].

  If it is determined in step S306 that the entry of the document creation user [O] is not set in the transmission analysis information [PTAB], the process proceeds to step S307 and the transmission analysis information [PTAB] includes the document creation user [O]. Set the entry.

  When the entry of the document creation user [O] is set in the transmission analysis information [PTAB], or after setting in step S307, the process proceeds to step S308, and the document creation user [O] in the transmission analysis information [PTAB] is set. The reference user [U], that is, the user ID of the reference user is recorded in the entry. These processes are executed for all entries of the reference relation information [UTAB] to create the transfer analysis information [PTAB].

  The transmission analysis information [PTAB] is set as a correspondence table between the document creation user and the document reference user. In step S309 and subsequent steps, processing for each entry of the transmission analysis information [PTAB] is executed. In step S309, one processing entry is selected from the transmission analysis information [PTAB] and is set as [PENT]. If there is no process entry (S310: Yes), the process ends.

If there is a process entry (S310: No), the process proceeds to step S311.
The document creator set in the processing entry [PENT] is set to [O],
The document referrer set in the process entry [PENT] is referred to as the referrer list [UL],
And

In step S312, various setting conditions to be applied to the analysis are set based on management information stored in the management information database 105 or organization information input from the organization information input unit 111. For example,
Organization information [R] of the organization to which the user of interest belongs, acquired from the management information (MGT),
The range in which the target user analyzed from the affiliation information [R] can acquire information, that is, the aggregateable range [NA],
The range in which the target user analyzed from the affiliation information [R] can expand the information, that is, the expandable range [NP],
Get these information. The aggregateable range [NA] and the expandable range [NP] are set as, for example, the number of users who can acquire information by the user of interest and the number of users who can provide information by the user of interest.

  These pieces of information may be acquired based on management information stored in the management information database 105, that is, formal organization information, or may be obtained from informal organization information input from the organization information input unit 111. You may acquire based on.

Next, in step S313,
Aggregation degree (O) ← (LEN (UL)) / NA
Degree of development (O) ← (LEN (UL)) / NP
As a result, an information aggregation degree and an information development degree corresponding to the user of interest are calculated.

Aggregation degree (O) ← (LEN (UL)) / NA
Is obtained by dividing the length (LEN (UL)) as the reference user list length by the aggregateable range [NA].
Degree of development (O) ← (LEN (UL)) / NP
Is obtained by dividing the length (LEN (UL)) as the reference user list length by the expandable range [NP].

  A specific example will be described with reference to FIG. FIG. 11 shows an example in which the noted user 300 is set as an analysis target. There are eight users in the range in which the noted user 300 can acquire information, that is, the collectable range [NA], and NA = 8. On the other hand, there are five users in the range in which the noted user 300 can expand the information, that is, the expandable range [NA], and NA = 5.

Here, it is the document management system 70 that the target user 300 actually aggregates (acquires) information is a document created by three users out of eight users included in the aggregateable range [NA]. Analyzed from access log. As a result, the degree of aggregation corresponding to the noted user 300 is
Aggregation level = 3/8
Is calculated as

  On the other hand, there are five users in the range in which the noted user 300 can expand the information, that is, the expandable range [NP], and NP = 5.

Here, it is confirmed from the access log of the document management system 70 that the target user 300 actually developed the information is a document created by two users out of the five users included in the expandable range [NP]. Be analyzed. As a result, the degree of expansion corresponding to the noted user 300 is
Degree of development = 2/5
Is calculated as

  In this manner, the information analysis processing apparatus of the present invention analyzes the information path, the degree of aggregation, and the degree of development based on the access log of the document management system.

  In addition, the information analysis processing device of the present invention described above is further linked with an organization information input means with an electronic mail system or a human location information detection device, and the output of these electronic mail system or human location information detection device is transmitted. A configuration may be adopted in which the route specifying means 108 is input to execute more advanced processing. With such a configuration, for example, a configuration in which a mail transmission / reception log is acquired from a mail server and a transmission / reception history is output, thereby performing an analysis comparing the mail transmission / reception relationship with the document creation-reference relationship, It is also possible to extract physical contact points between users (such as being in the same conference room) from the output of the information detection device, and to analyze the comparison between the relationship in the real world and the document creation-reference relationship based on this It becomes possible. With such a configuration, it is possible to extract relationships between users in a wider range.

  In the information analysis processing apparatus of the present invention, when analyzing the route of information, the degree of aggregation, and the degree of development based on the access log of the document management system, it is possible to set the analysis condition such as the period to be analyzed and the user It is. These analysis conditions can be input via the analysis condition input means 107. The analysis condition setting sequence will be described with reference to the flowchart shown in FIG.

  The operator who executes the analysis process inputs a period, a user, affiliation information, etc. as analysis conditions via the analysis condition input means 107 shown in FIG. In step S <b> 502, the transmission path specifying unit 108 determines a process to be executed by classifying the set conditions input via the analysis condition input unit 107.

  For example, when the input setting condition is period designation information, the access log totaling process for the designated period is executed in step S503, and when the input setting condition is user designation information, the access log corresponding to the designated user in step S504. If the input setting condition is group designation information such as a specific organization, the access log aggregation process corresponding to the designated group is executed in step S505.

  Next, an example of display data generated by the display unit 110 based on the access log analysis result in the transmission path specifying unit 108 and the transmission degree calculation unit 109 will be described with reference to FIGS. The display example illustrated in FIG. 13 is display data indicating document creation and reference relationships for each user (User-234, User-123, User-876, User-987).

  Time (t) has elapsed from left to right, and document creation (diamond ◆) time and document reference time (black circle) for each user are shown. The document reference time (black circle ●) is shown by extending the line to the creator of the reference document. For example, the display data 401 is data indicating that the user (User-123) referred to the created document of the user (User-876).

  The user (User-123) refers to the created document of the user (User-876) three times and refers to the created document of the user (User-987) three times. The analysis results can be displayed in a variety of ways, such that the documents can be distinguished by the color scheme of ● and ◆, and the reference frequency and the amount of information held by the document can be represented by their size. Etc. may be extended. The vertical bar indicating the reference may be associated with the date and time when the reference is actually performed, or may be set such that the reference amount is expressed by its thickness by counting up for a certain period (such as one week). .

Next, display examples with different analysis results will be described with reference to FIG. FIG. 14 is a display example showing the following information about each user (User-234, User-123, User-876, User-987) in time series.
(A) Information aggregation level of each user,
(B) Information deployment level of each user,
(C) Information aggregation degree and development degree of each user,
These pieces of information are shown respectively.

  14 (a), 14 (b), and 14 (c), the time (t) has passed from the left to the right, and FIG. 14 (a) shows the time when each user referred to the information as information intensity information. . The height of each data indicates an aggregation level as shown in (d). That is, the degree of aggregation described earlier with reference to FIGS. 10 and 11 is represented as LEN (UL) / NA.

  FIG. 14B shows the time when information is developed from each user as information development degree information. The height of each data indicates the development level as shown in (d). That is, the degree of expansion = LEN (UL) / NP described above with reference to FIGS.

  FIG. 14C is data showing both FIGS. 14A and 14B, and is data showing information aggregation degree information and information development degree information of each user.

  In this display example, it is possible to list the degree of information aggregation and development of each user, which user incorporates a lot of other information (aggregation), or which user's created document is used more frequently. It is possible to easily grasp the status of information transmission, such as whether or not (development).

  The present invention has been described in detail above with reference to specific embodiments. However, it is obvious that those skilled in the art can make modifications and substitutions of the embodiments without departing from the gist of the present invention. In other words, the present invention has been disclosed in the form of exemplification, and should not be interpreted in a limited manner. In order to determine the gist of the present invention, the claims section described at the beginning should be considered.

  The series of processes described in the specification can be executed by hardware, software, or a combined configuration of both. When executing processing by software, the program recording the processing sequence is installed in a memory in a computer incorporated in dedicated hardware and executed, or the program is executed on a general-purpose computer capable of executing various processing. It can be installed and run.

  For example, the program can be recorded in advance on a hard disk or ROM (Read Only Memory) as a recording medium. Alternatively, the program is temporarily or permanently stored on a removable recording medium such as a flexible disk, a CD-ROM (Compact Disc Read Only Memory), an MO (Magneto Optical) disk, a DVD (Digital Versatile Disc), a magnetic disk, or a semiconductor memory. It can be stored (recorded). Such a removable recording medium can be provided as so-called package software.

  The program is installed on the computer from the removable recording medium as described above, or is wirelessly transferred from the download site to the computer, or is wired to the computer via a network such as a LAN (Local Area Network) or the Internet. The computer can receive the program transferred in this manner and install it on a recording medium such as a built-in hard disk.

  Note that the various processes described in the specification are not only executed in time series according to the description, but may be executed in parallel or individually according to the processing capability of the apparatus that executes the processes or as necessary. Further, in this specification, the system is a logical set configuration of a plurality of devices, and the devices of each configuration are not limited to being in the same casing.

  As described above, according to the configuration of the embodiment of the present invention, it is possible to analyze the transmission path of information via a document based on the access log for the electronic document database storing the electronic document, It becomes possible to efficiently analyze the analysis of user relationships, the degree of document aggregation, the degree of expansion, etc. of each user. Specifically, the reference document information in which the reference user identifier and the document identifier are associated with each other, and the reference relationship information in which the document creation user identifier and the reference user identifier are associated with each other from the access history information for the electronic document storage database. By generating and applying management information including user affiliation information, it is possible to efficiently calculate information aggregation degree information and information development degree information corresponding to the user of interest.

It is a figure explaining the outline | summary of the process which the information analysis processing apparatus concerning this invention performs. It is a figure explaining the outline | summary of the process which the information analysis processing apparatus concerning this invention performs. It is a figure which illustrates the structure of the network system to which the information analysis process concerning this invention is applied. It is a figure which shows the structure of the information analysis processing apparatus concerning this invention. It is a figure which shows the structural example of the access log data and management information data which the information analysis processing apparatus concerning this invention utilizes. It is a figure which shows the flowchart explaining the process sequence of the information analysis processing apparatus concerning this invention. It is a figure explaining the specific example of a process of the information analysis processing apparatus concerning this invention. It is a figure explaining the production | generation processing sequence of the document reference information performed in the information analysis processing apparatus concerning this invention, and the figure which shows the data structural example of document reference information. It is a figure which shows the data structural example of the flowchart explaining the production | generation process sequence of the reference relation information performed in the information analysis processing apparatus concerning this invention, and reference relation information. It is a figure which shows the flowchart explaining the analysis processing sequence of the information transmission path | route and transmission degree which are performed in the information analysis processing apparatus concerning this invention. It is a figure explaining the specific example of the information transmission path | route and the analysis process of a transmission degree which are performed in the information analysis processing apparatus concerning this invention. It is a figure which shows the flowchart explaining the processing sequence of the setting information set in the information transmission path | route and transmission degree analysis processing performed in the information analysis processing apparatus concerning this invention. It is a figure explaining the example of a display of the execution result of the analysis process of the information transmission path | route and transmission degree which are performed in the information analysis processing apparatus concerning this invention. It is a figure explaining the example of a display of the execution result of the analysis process of the information transmission path | route and transmission degree which are performed in the information analysis processing apparatus concerning this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Attention user 21, 22, 23 Information provider 24 Information user 31 Attention user 32 Configuration member 51-53 User terminal (client)
DESCRIPTION OF SYMBOLS 60 Network 70 Document management system 100 Information analysis processing apparatus 101 Access log collection means 102 Access log database 103 Access log totaling means 104 Management information collection means 105 Management information database 106 Management information totaling means 107 Analysis condition input means 108 Transmission path specifying means 109 Transmittance calculation means 110 Display means 111 Organization information input means

Claims (4)

An electronic document storage database for storing electronic documents;
An access log database for storing a user access log for the electronic document stored in the electronic document storage database;
Management information for storing, for each user, the number of obtainable users set as the number of users from whom the user can obtain information and the number of deployable users set as the number of users from which the user can develop information A database,
Acquisition means for acquiring document access user information indicating a document reference user who has accessed the electronic document and access document information indicating an electronic document accessed by the document reference user from an access log stored in the access log database When,
Analyzing the correspondence between the document creation user indicating the user who created the electronic document corresponding to the access document information acquired by the acquisition unit and the document reference user corresponding to the document access user information acquired by the acquisition unit, A specifying means for specifying an information transmission path via an electronic document;
For the target user, a ratio between the number of information transmission paths when the target user is a document reference user and the number of users who can acquire the target user is calculated as the information aggregation degree of the target user. A calculating means for calculating a ratio between the number of information transmission paths when the user is a document creation user and the number of expandable users of the target user as the information expansion degree of the target user;
An information analysis processing apparatus comprising: The information analysis processing apparatus includes:
Having a display means for generating display data based on the analysis processing result;
The said display means is the structure which performs the process which produces | generates and displays the time series data containing the information of at least any one of the document creation information corresponding to a user, or document reference information, The display of Claim 1 characterized by the above-mentioned. Information analysis processing device. The information analysis processing apparatus includes:
Having a display means for generating display data based on the analysis processing result;
It said display means to claim 1, wherein the aggregator Doma other corresponding to the user is configured so as to execute processing for generating and displaying time-series data including at least one of information of information development of The information analysis processing device described. A computer connected to an electronic document storage database for storing electronic documents
An access log database for storing a user access log for the electronic document stored in the electronic document storage database;
Management information for storing, for each user, the number of obtainable users set as the number of users from whom the user can obtain information and the number of deployable users set as the number of users from which the user can develop information Database,
Acquisition means for acquiring document access user information indicating a document reference user who has accessed the electronic document and access document information indicating an electronic document accessed by the document reference user from an access log stored in the access log database ,
Analyzing the correspondence between the document creation user indicating the user who created the electronic document corresponding to the access document information acquired by the acquisition unit and the document reference user corresponding to the document access user information acquired by the acquisition unit, A specifying means for specifying an information transmission path via an electronic document;
For the target user, a ratio between the number of information transmission paths when the target user is a document reference user and the number of users who can acquire the target user is calculated as the information aggregation degree of the target user. A calculating means for calculating a ratio between the number of information transmission paths when the user is a document creation user and the number of expandable users of the target user as the information expansion degree of the target user;
Computer program to function as

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