JP6194732B2 - Information management apparatus, program, and information processing system - Google Patents

Description

  The present invention relates to an information management device, a program, and an information processing system.

  There is a system that records a user operation on a file and identifies a highly relevant file based on the overlapping time of file use (see, for example, Patent Document 1).

JP 2009-3553 A

  An object of the present invention is to provide an information management device, a program, and an information processing system capable of evaluating the value of data based on a relationship set between data.

  The invention according to claim 1 is based on a plurality of data, acquisition means for acquiring operation history information performed on each of the plurality of data by the user, and the plurality of data based on the operation history information for the plurality of data. For each of the one or more data sets selected from the data, the plurality of relations are respectively determined based on whether or not a predetermined condition is satisfied for each of the plurality of relations between the data. Determining means for determining whether or not to have, setting means for associating and setting the relationship determined by the determining means that the data set has for each of the one or more data sets, and the plurality of data sets Calculation means for calculating an evaluation value of the target data in the target period based on the number of relationships set by the setting means within the target period for the target data of the data. It is a management device.

  According to a second aspect of the present invention, the calculating means is determined for each of the plurality of relations and the number of the plurality of relations set by the setting means within the target period for the target data. The information management apparatus according to claim 1, wherein an evaluation value of the target data in the target period is calculated based on the weight.

  In the invention according to claim 3, for the target data, a plurality of evaluation values respectively calculated by the calculation means in each of a plurality of periods, and a value smaller in the past period for each of the plurality of periods are determined. The information management apparatus according to claim 2, further comprising a cumulative evaluation value calculation unit that calculates a cumulative evaluation value of the target data based on the plurality of weights.

  According to a fourth aspect of the present invention, the cumulative evaluation value calculating means calculates a cumulative evaluation value in a designated period received from a terminal for each of one or more data among the plurality of data, and in the designated period The information management apparatus according to claim 3, wherein data selected based on a cumulative evaluation value of the one or more data is provided to the terminal.

  According to a fifth aspect of the present invention, for each of one or more of the plurality of data, a change in the evaluation value calculated by the calculation unit in each of a plurality of periods within a specified period received from the terminal An activity calculation means for calculating the activity of each of the one or more data based on the amount, and providing the terminal with the data selected based on the activity of the one or more data in the specified period; An information management apparatus according to any one of claims 1 to 4.

  According to a sixth aspect of the present invention, the activity calculation means is configured to calculate the one or more data based on a change amount of the evaluation value in the specified period and the number of accesses in the specified period for each of the one or more data. The information management device according to claim 5, wherein the degree of activity for each of the data is calculated.

  The invention according to claim 7 is based on a plurality of data, an acquisition means for acquiring operation history information performed on each of the plurality of data by the user, and the operation history information for the plurality of data. For each of the one or more data sets selected from the data, the plurality of relations are respectively determined based on whether or not a predetermined condition is satisfied for each of the plurality of relations between the data. Determining means for determining whether or not to have, setting means for associating and setting the relationship determined by the determining means that the data set has for each of the one or more data sets, and the plurality of data sets Compile as a calculation means for calculating an evaluation value of the target data in the target period based on the number of relationships set by the setting means within the target period for the target data. It is a program for the functioning of the over data.

  The invention according to claim 8 includes an information processing terminal and an information management device, wherein the information processing terminal receives a plurality of data and operation history information performed by the user for each of the plurality of data as the information. The information management device based on operation history information for the plurality of data, acquisition means for acquiring the plurality of data and the operation history information transmitted by the transmission unit, and , For each of one or more data sets selected from the plurality of data, based on whether or not a predetermined condition is satisfied for each of a plurality of relationships between the data, A determination means for determining whether or not each of the data sets has a relationship, and a relation determined by the determination means to be included in the data set by each of the one or more data sets in association with each other Setting means, and calculation means for calculating an evaluation value of the target data in the target period based on the number of relationships set by the setting means within the target period for the target data of the plurality of data, Is an information processing system including

  According to the first, seventh, and eighth aspects of the invention, the value of data can be evaluated based on the relationship set between the data.

  According to the second aspect of the present invention, the value of data can be evaluated based on the number of a plurality of relationships set between data and the weight of each relationship.

  According to the invention which concerns on Claim 3, accumulation of the evaluation value from the past of data can be reflected in the value of data.

  According to the invention which concerns on Claim 4, the data selected according to the value accumulate | stored in data can be provided.

  According to the invention which concerns on Claim 5, the data selected according to the variation | change_quantity of the value based on the relationship of data can be provided.

  According to the invention which concerns on Claim 6, the data selected based on the variation | change_quantity of the value based on the relationship of data and the number of accesses to data can be provided.

1 is a system configuration diagram of an information processing system according to an embodiment of the present invention. It is a block diagram of the hardware of an information management apparatus and an information processing terminal. It is a figure which shows an example of the operation history information management table. It is a figure which shows an example of a document information management table. It is a figure which shows an example of a relationship cycle information management table. It is a sequence diagram which shows an example of the registration process of operation history information. It is a flowchart which shows an example of a relationship determination process between documents. It is a flowchart which shows an example of a relationship determination process between documents. It is a flowchart of the evaluation process of a document. It is a figure which shows an example of an evaluation value management table. It is a flowchart which shows an example of an information provision process. It is a flowchart which shows an example of an information provision process. It is a flowchart of the calculation process of activity.

  Hereinafter, an embodiment for carrying out the present invention (hereinafter referred to as an embodiment) will be described with reference to the drawings.

[1. System configuration]
FIG. 1 shows a system configuration diagram of an information processing system 1 according to an embodiment of the present invention. As shown in FIG. 1, the information processing system 1 includes an information management device 10 and one or more information processing terminals 20, and the information management device 10 and the information processing terminal 20 can perform data communication with each other via a network 30. It is connected to the. Note that the network 30 may include a local area network, a wide area network, or both. In the example of FIG. 1, only one information processing terminal 20 is shown, but a plurality of information processing terminals 20 may be provided.

  The information processing terminal 20 is a computer that receives an operation from a user and executes processing. For example, the information processing terminal 20 edits document data based on an operation received from the user, and transmits the edited document data and operation history data to the information management apparatus 10.

  The information management apparatus 10 is a server computer that receives document data and operation history data from the information processing terminal 20 and manages the received document data and operation history data. For example, the information management apparatus 10 determines the relationship (duplication, co-occurrence, similarity, reference, diversion, revision) between the document data based on the document data and the operation history data, and the determined relationship is the document. Assign and manage data. Furthermore, the information management apparatus 10 analyzes the periodicity in which the relationship given to the document data appears, and the document data that may have the specified relationship during the specified period based on the analyzed periodicity. To users.

  Here, the fact that the first document data has a “duplicate” relationship with the second document data may indicate that the first document data has been copied from the second document data. Further, the fact that the first document data has a “co-occurrence” relationship with the second document data indicates that the second document data was also opened when the first document data was opened. As good as The fact that the first document data has a “similar” relationship with the second document data may indicate that the contents of the first document data and the second document data are similar. The fact that the first document data has a “reference” relationship with the second document data may indicate that the first document data includes information referring to the second document data. Further, the fact that the first document data has a “diversion” relationship with the second document data means that at least a part of the second document data is copied and edited on at least a part of the first document data. It may be shown that a part is included. Further, the first document data has a “revision” relationship with the second document data means that the first document data is edited based on the second document data, and is similar to the file name. May be present (for example, only a version difference).

  In order to execute the above processing, the configuration provided in the information management device 10 and the information processing terminal 20 and details of processing executed by the information management device 10 and the information processing terminal 20 will be described below.

[2. Hardware configuration]
First, an example of a hardware configuration provided in the information management apparatus 10 and the information processing terminal 20 will be described with reference to FIG.

[2-1. Information management device]
As illustrated in FIG. 2, the information management apparatus 10 includes a control unit 11, a storage unit 12, and a communication unit 13.

  The control unit 11 includes a CPU (Central Processing Unit), executes various arithmetic processes based on a program stored in the storage unit 12, and controls each unit of the information management apparatus 10.

  The storage unit 12 stores a control program such as an operating system of the information management apparatus 10 and data, and is also used as a work memory of the control unit 11. The program may be supplied to the information management apparatus 10 in a state stored in an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory, or information may be transmitted via a data communication means such as the Internet. It may be supplied to the management apparatus 10. Hereinafter, a specific example of data stored in the storage unit 12 will be described.

  The storage unit 12 stores a history data management table that stores operation history data received from the information processing terminal 20.

  FIG. 3 shows an example of the history data management table. As shown in FIG. 3, the history data management table includes a history ID for identifying operation history data, a user ID for identifying a user related to the operation of the operation history data, an operation date and time, an operation command, and an operation target file name ( Path name) and a document ID for identifying the operation target file (document data) are stored in association with each other. Here, the operation commands include “open / close / delete file A” (open file A (create new if file A does not exist) / close / delete), “copy / move file A file B”. (Copy / rename file A to file B), “copy file A: area A file B: area B” (copy data from area A of file A to area B of file B), “save file A "(Save file A)" or the like.

  The storage unit 12 stores a document data management table that stores information on document data received from the information processing terminal 20.

  FIG. 4 shows an example of the document data management table. As shown in FIG. 4, the document data management table includes a document ID for identifying the document data, an owner (user ID) of the document data, a file name of the document data, a format of the document data, and a storage destination of the document data. Information is stored in association.

  The storage unit 12 stores a relationship management table indicating the relationship between one document data managed by the document data management table and other document data. The data stored in the relationship management table may be generated by the information management apparatus 10 based on the history data management table and the document data management table. Details of the relationship data generation processing between the documents are as follows. Will be described later.

  FIG. 5 shows an example of the relationship management table. As shown in FIG. 5, the relationship management table includes a relationship ID for identifying relationship data, a main document ID (main document ID) of the relationship data, and a document ID (subordinate document ID) subordinate to the relationship data. ), Relationship contents (1: duplication, 2: co-occurrence, 3: similarity, 4: reference, 5: diversion, 6: revision), user ID of the operator who generated the relationship, date of occurrence of the relationship Are stored in association with each other. For example, if the document of the main document ID has a relationship of duplication (or reference / diversion / revision) with the document of the sub document ID, the document of the main document ID is duplicated (or referred / diverted) from the document of the sub document ID The document with the main document ID is co-occurrence (or similar) with the document with the subordinate document ID. It shows the relationship with the occurrence (or similar).

  The communication unit 13 includes, for example, a network interface card (NIC), and communicates with the information processing terminal 20 by connecting to the network 30 via the NIC.

[2-2. Information processing terminal]
The information processing terminal 20 includes a control unit 21, a storage unit 22, a communication unit 23, an input unit 24, and a display unit 25.

  The control unit 21 includes a CPU (Central Processing Unit), executes various arithmetic processes based on a program stored in the storage unit 22, and controls each unit of the information processing terminal 20.

  The storage unit 22 stores a control program such as an operating system of the information processing terminal 20 and data, and is also used as a work memory of the control unit 21. The program may be written in the storage unit 22 in advance, or supplied to the information processing terminal 20 while being stored in an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory. Alternatively, it may be supplied to the information processing terminal 20 via a data communication network such as the Internet.

  The communication unit 23 includes, for example, a wireless or wired communication interface, is connected to the network 30 via the communication interface, and communicates with the information management apparatus 10 connected to the network 30.

  The input unit 24 is realized by an input device such as a touch panel or a keyboard, and receives an operation input from a user.

  The display unit 25 is realized by a display device such as a liquid crystal display, and displays a result (screen) of information processing by the control unit 21.

[3. Details of processing]
Next, details of processing executed in the information processing system 1 will be described with reference to FIGS.

[3-1. Processing when registering operation history data]
First, an example of processing executed when the information processing terminal 20 registers operation history data in the information management apparatus 10 in the information processing system 1 will be described with reference to the sequence diagram shown in FIG.

  As illustrated in FIG. 6, when the information processing terminal 20 receives an operation input from the user (S101), the information processing terminal 20 executes document data editing processing based on the received operation input (S102). Here, the editing process may include processes such as opening, closing, and duplicating document data.

  The information processing terminal 20 records the operation history data based on the executed document data editing process (S103). For example, the information processing terminal 20 may record the user ID, operation date / time, operation command, and operation target file name (path name) as operation history data.

  When the operation history data transmission timing has not arrived (S104: N), the information processing terminal 20 returns to S101 and continues the subsequent processing, and when the operation history data transmission timing has arrived. (S104: Y), operation history data to be transmitted and document data are selected (S105). For example, the information processing terminal 20 may determine that the transmission timing has arrived every time a predetermined time interval elapses, or a predetermined event such as an operation input has occurred. Each time, it may be determined that the transmission timing has arrived. Then, the information processing terminal 20 may select operation history data that has not been transmitted to the information management apparatus 10 and document data as transmission targets. Here, even if the document data has already been transmitted, the information processing terminal 20 may select the updated document data as a transmission target when the document data is updated after the transmission.

  The information processing terminal 20 transmits the operation history data selected in S105 and the document data to the information management apparatus 10 (S106). If the information processing terminal 20 does not end the document processing (S107: N), the process returns to S101 and repeats the subsequent processing. If the document processing ends (S107: Y), the processing is performed. finish.

  When the information management apparatus 10 receives the operation history data and the document data transmitted from the information processing terminal 20 in S106, the information management apparatus 10 assigns a document ID to the received document data, and then a document data management table (see FIG. 4). (S108), and the operation history data received from the information processing terminal 20 is stored in the history data management table (see FIG. 3) (S109). When the document data corresponding to the file path of the document data received from the information processing terminal 20 has already been stored in the document data management table, the information management apparatus 10 stores information on the stored document data ( If the document data corresponding to the file path of the document data received from the information processing terminal 20 is not stored in the document data management table, a new document ID is assigned to the document data. Information (records) may be added to the management table.

  Next, when the timing for determining the relationship between documents has not arrived (S110: N), the information management apparatus 10 returns to before S108, and the operation history data from the information processing terminal 20 and the document When it is time to determine the relationship between documents after waiting for data transmission (S110: Y), a process for determining the relationship between documents (inter-document relationship determination process) is executed (S111). ). After completing the process of S111, the information management apparatus 10 returns to before S108 and waits for transmission of operation history data and document data from the information processing terminal 20. Next, details of the inter-document relationship determination process executed by the information management apparatus 10 will be described with reference to the flowcharts of FIGS.

[3-2. Inter-document relationship determination process]
7 and 8 are flowcharts showing the inter-document relationship determination process. As shown in FIG. 7, the information management apparatus 10 selects document data to be processed (here, document data D _{1 to DN} , where N is an integer equal to or greater than 1) (S201). For example, the information management apparatus 10 registers (or updates information) in the document data management table within a specified period (for example, within a predetermined period from the current time) among the document data associated with the specified user ID. It is also possible to select at least one of the document data and the document data that is the operation target in the history data registered in the history data management table as the processing target. The inter-document relationship determination process may be executed for each user ID.

Next, the information management apparatus 10 initializes the variable i to 1 (S202), extracts the operation history data about the document data _{D i} from the history data management table (S203). For example, the information management apparatus 10 may as to extract the operation history data (records) including the document ID of the document data D _i from the history data management table.

Information management apparatus 10 based on the operation history data extracted for the document data D _i, if the document data D _i is determined to have been copied from another document data (S204: Y), the document data D _i Is recorded in the relationship management table (see FIG. 5) (S205). For example, the information management apparatus 10, in the operation history data extracted for the document data D _i, if the document data D _i is included an operation command indicating that created by the replication of other document data adds a new record to the relationship management table, and stores the newly generated ID to relationships ID of the added record, the document ID of the document data D _i in the main document ID, a copy source to従文document ID It is possible to store the document ID of the document data of “1” and “1: Duplicate” as the content of the relationship in association with the operation date and time in the operation history data on the date of occurrence of the relationship.

Information management apparatus 10 based on the operation history data extracted for the document data D _i, if the document data D _i is not determined to have been copied from another document data: and (S204 N), after the step S205 , based on the operation history data extracted for the document data D _i, it determines whether there are other document data co-occurrence relationship with the document data D _i (S206). For example, in the operation history data extracted for the document data D _i , the information management apparatus 10 shares the shared document data when there is other opened document data from when the document data D _i is opened until it is closed. It is determined that there is other document data of the origin relationship, and otherwise, it is determined that there is no other document data of the co-occurrence relationship.

If the information management apparatus 10 determines in S206 that there is other document data having a co-occurrence relationship with the document data D _i (S206: Y), the document data D _i is co-occurrence with other document data. The relationship is recorded in the relationship management table (see FIG. 5) (S207). For example, the information management apparatus 10, when determining that there are other document data co-occurrence relationship with the document data D _i adds a new record to the relationship management table, relationship ID of the added record to store the newly generated ID, the main document ID of the document data D _i in the document ID, and document ID of the other document data in co-occurrence relation to従文document ID, the contents of the relationship "2: co “Occurrence” may be stored in association with the operation date and time in the operation history data (for example, the date and time when other document data having a co-occurrence relationship is opened) on the occurrence of the relationship.

When there is no other document data having a co-occurrence relationship in the document data D _i (S206: N), the information management apparatus 10 generates a feature vector V _i for the document data D _i after S207 (S208). For example, the feature vector V _i may be calculated based on the word included in the document data D _i and its importance, or may be calculated by another method.

The information management apparatus 10 identifies which of the plurality of clusters into which the feature vectors V _i of the document data D _i belong to the respective feature vectors of the document data stored in the storage unit 12 belongs, and the identified cluster A document data group (document data d _{i1 to} d iMi in this _example ) _belonging to is selected (S209). Note that Mi is an integer of 1 or more. Here, for example, the information management apparatus 10 may calculate the distance between the representative feature vector of each cluster and the feature vector V _i and specify the cluster having the smallest distance as the cluster to which the document data D _i belongs. Here, the processing after S209 will be described with reference to FIG.

As shown in FIG. 8, the information management apparatus 10 initializes a variable j to 1 (S210), and determines whether or not the document data D _i and the document data d _ij are similar data (S211). . For example, the information management apparatus 10 may determine that the distance between the feature vector of the document data D _{i and} the feature vector of the document data d _ij is similar if the distance is equal to or smaller than the threshold, and dissimilar if the distance is larger than the threshold.

When the document data D _i is similar to the document data d _{ij in} S211 (S211: Y), the information management apparatus 10 proceeds to S212, and the document data D _i is dissimilar to the document data d _ij. (S211: N), the process proceeds to S217.

Information management apparatus 10, in S212, if the document data _{D i} and the document data _{d ij} is determined that the copy relationship (S212: Y), the document data _{D i,} and the document data _{d ij} The diversion relationship is recorded in the relationship management table (see FIG. 5) (S213), and if it is determined that the document data D _i and the document data _dij are not in a replication relationship (S212: N), the document data For D _i , the similarity relationship with the document data d _ij is recorded in the relationship management table (see FIG. 5) (S214). For example, the information management apparatus 10 determines whether or not the operation history data extracted for the document data D _i includes a copy operation history using the document data d _ij as a copy source. It may be determined whether _i and document data d _ij have a replication relationship.

After S213 or S214, the information management apparatus 10 determines whether the file paths of the document data D _i and the document data _dij are similar (S215). For example, the information management apparatus 10, a character string of the file path of the document data D _i, the file path of the document data d _ij and if the string matches more than a predetermined ratio, the document data D _i file path If the difference between the character string and the character string of the file path of the document data _dij is only a predetermined format (for example, only numbers), it is determined that they are similar, and if not, both May be determined to be dissimilar.

If it is determined in S215 that the file paths of the document data D _i and the document data d _ij are similar (S215: Y), the information management apparatus 10 compares the document data d _i with the document data d _i . The revision relationship with _ij is recorded in the relationship management table (see FIG. 5) (S216).

Information management apparatus 10, after S216, when the file path of the document data _{D i} and the document data _{d ij} is dissimilar (S215: Y), or the document data _{D i} is the document data _{d ij} and dissimilar If there is (S211: N), it is determined whether or not the document data D _i includes data referring to the document data d _ij (S217). For example, the information management apparatus 10, in the document data D _i, based on whether including the document data d _ij file path (file name) may as executing the determination processing of S217.

Information management apparatus 10, when the document data _{D i} is determined to include the data referring to document data _{d ij} in S217 (S217: Y), the document data _{D i,} to the document data _{d ij} The reference relationship is recorded in the relationship management table (see FIG. 5) (S218). Further, the information management apparatus 10 further determines whether containing data referring to document data D _i in the document data d _ij, based on the determination result, the document data d _ij, document data a reference relationship to D _i, may be recorded in the relationship management table.

The information management apparatus 10 proceeds to S219 after S218 or when the document data D _i does not include data referring to the document data _dij (S217: N). Here, the information management apparatus 10, the variable j is, when the document data _{D i} does not reach the number of documents Mi belonging cluster (S219: N), to the variable j (1 added to j) is incremented (S220) Returning to S211, the subsequent processing is repeated, and when the variable j reaches Mi (S219: Y), the process proceeds to S221.

  Here, when the variable i has not reached the target document data number N (S221: N), the information management apparatus 10 increments the variable i (adds 1 to i) (S222), and returns to S203 in FIG. Then, the subsequent processing is repeated, and when the variable i reaches the target document data number N (S221: Y), the process returns to exit the inter-document relationship determination processing.

  The above is an example of processing executed when registering operation history data in the information processing system 1. Next, an example of document value evaluation processing using the relationship between documents analyzed in FIGS. 6 to 8 and information provision processing to the user according to the value evaluated for the document will be described.

[3-3. Document value evaluation process]
FIG. 9 shows a flowchart of document value evaluation processing executed by the information management apparatus 10.

  As shown in FIG. 9, when the document evaluation timing has not arrived (S301: N), the information management apparatus 10 stands by, and when the document evaluation timing has arrived (S301: Y). The process proceeds to S302. For example, the information management device 10 may determine that the document evaluation timing has arrived at predetermined time intervals (every day, every other week, etc.), or a predetermined date and time or event has arrived. The arrival of the evaluation timing may be determined according to whether or not it has been done.

When the document evaluation timing has arrived (S301: Y), the information management apparatus 10 selects documents D _{1 to} D _N (N is an integer equal to or greater than ₁ ) to be evaluated (S302). For example, the information management apparatus 10 may select all of the document data stored in the storage unit 12 as an evaluation target, or may specify a specified condition (for example, a generation date is within a specified period or an operation history is It is also possible to select document data that matches a specified period) as an evaluation target.

The information management apparatus 10 initializes the variable i to 1 (S303), and acquires the relationship data generated within the evaluation target period for the document D _i of interest with reference to the relationship management table (S304). . For example, the evaluation target period may be a period from the previous evaluation timing to the current evaluation timing. Then, the information management apparatus 10, for example, acquired from the relationship management table, the record contains an ID of the document D _i to one of the main document ID or従文document ID, further date is included in the evaluation target period It is good to do.

Information management apparatus 10 based on the relationship data acquired in S304, and counts the referenced correlation coefficient ai of the document _{D i} (S305). For example, the information management apparatus 10, among the acquired relationships data records S304, ID of the document D _i is stored in the column of従文document ID, further relationship is: the number of which is "4 replication" Record It is good also as counting and obtaining the counted number as ai.

Next, the information management apparatus 10 based on the relationship data acquired in S304, the count to be replicated correlation coefficient bi of the document _{D i} (S306). For example, the information management apparatus 10, among the acquired relationships data records S304, ID of the document D _i is stored in the column of従文document ID, further relationship is: the number of "1 replication" record It is good also as counting and obtaining the counted number as bi.

Next, the information management apparatus 10 based on the relationship data acquired in S304, the count to be diverted correlation coefficient ci of the document _{D i} (S307). For example, the information management apparatus 10, among the acquired relationships data records S304, ID of the document D _i is stored in the column of従文document ID, further relationship is: the number of which is "5 diversion" Record It is good also as counting and obtaining the counted number as ci.

Next, the information management apparatus 10 based on the relationship data acquired in S304, and counts the occurrence relation number di document _{D i} (S308). For example, the information management apparatus 10, among the acquired relationships data records S304, ID of the document _{D i} is従文document ID in the column (or primary document ID, or any of the main document ID and従文document ID) The number of records that are stored and whose relationship is “2: co-occurrence” is counted, and the counted number may be obtained as di.

Next, the information management apparatus 10 based on the relationship data acquired in S304, and counts the revised correlation coefficient ei of the document _{D i} (S309). For example, the information management apparatus 10 stores the document D _i or the document ID revised based on the document D _i in the relationship data record acquired in step S304 in the sub document ID column, and further determines the relationship. the number of a: "6 diverted 'record (or revised number up to the document revised from the document D _i) by counting a number of counting good as that obtained as ei.

Next, the information management apparatus 10 counts the number of accesses fi document _{D i} (S310). For example, the information management apparatus 10, from the history data management table, a record in which the operation time is within the evaluation period, including the ID of the document D _i in the column of the document ID, further operation command opens "( The number of records that are “open)” or “update” may be counted, and the counted number may be obtained as fi.

Then, the information management apparatus 10, based on the data counted in S305～S310, evaluation value of the document _{D i} in the evaluation target period (the evaluation value) is calculated Vi (S311). For example, the information management apparatus 10 may calculate the evaluation value Vi by the following equation (1), with A, B, C, D, E, and F being predetermined coefficients, respectively. As an example, A = 2, B = 2, C = 2, D = 1, E = 4, F = 1, and the like may be used.
Vi = A * ai + B * bi + C * ci + D * di + E * ei + F * fi (1)

Information management apparatus 10, and the evaluation value Vi of the document _{D i} calculated in S311, based on the evaluation value calculated in the past for documents _{D i,} to calculate the cumulative evaluation value TVi document _{D i} (S312) . For example, the information management apparatus 10, evaluation timing is that every other day, the number of days from the generation date of the document D _i to the current evaluation target timing when the Mi has the accumulated evaluation value TVi document D _i It is good also as calculating with the following formula | equation (2). Note that relates the variable j representing the number of days, j = 0 is generated date, j = Mi represents the current evaluation timing, Vij represents the evaluation value of the document D _i in days j. Also, e is expressed as λ = ln2 / T, where e is the base of the number of natural fields, and λ is T (for example, 10 days) when the half-life of the evaluation value is T.

  Further, the information management apparatus 10 may calculate the cumulative evaluation value TVi by the following formula (3), where Rj is the evaluation value increment at the evaluation target timing and RDj is the decrease. The calculation of the cumulative evaluation value TVi is not limited to the equations (2) and (3), and may be another equation that decreases the past evaluation value with the passage of time and adds it to the current evaluation value. .

Information management apparatus 10, the document _{D i} period the evaluation value Vi calculated for, and records the accumulated evaluation value TVi and access number fi in association with the document _{D i} evaluation value management table (see FIG. 10) (S313) .

FIG. 10 shows an example of the evaluation value management table. As shown in FIG. 10, in the evaluation value management table, a document ID, evaluation date and time, document data format, in-period evaluation value Vi, cumulative evaluation value TVi, and number of accesses fi are stored in association with each other. For example, the information management apparatus 10, in S313, the document ID of the document _{D i,} evaluation date based on the evaluation timing, data format of the document _{D i,} the document _{D i} evaluation value Vi is calculated in S311 for, for documents _{D i} S312 in the calculated accumulated evaluation value tvi, good as that recorded in the evaluation value management table in association with the counted number of accesses fi in S310 the document D _i. The evaluation value management table may be stored in the storage unit 12 of the information management apparatus 10.

  If the variable i has not reached N (S314: N), the information management apparatus 10 increments (adds 1) the variable i (S315), returns to S304, repeats the subsequent processing, and then returns to the variable i. If N has reached N (S314: Y), the document evaluation process is terminated.

[3-4. Information provision processing]
Next, an example of providing information using document evaluation results will be described.

[3-4-1. First information providing process]
As an example of the first information providing process, an example will be described in which information on a document having a high ranking based on the cumulative evaluation value of the document is provided to the user.

  FIG. 11 shows a flowchart of the first information providing process. As illustrated in FIG. 11, the information management apparatus 10 receives a search request for ranking based on the cumulative evaluation value, for example, from the information processing terminal 20 operated by the user (S401). For example, the search request may include a specified period, a keyword, a document format, a display number (for example, M), and the like.

  Based on the search request received from the information processing terminal 20, the information management apparatus 10 searches for documents of M that have a large cumulative evaluation value in a specified period from among documents that satisfy a specified condition (for example, keyword, document format). . For example, the information management apparatus 10 searches the evaluation value management table for M documents in the descending order of the cumulative evaluation value from among the documents whose evaluation date and time are within a specified period and whose data format satisfies the condition. As good as

  The information management apparatus 10 generates a search result based on the document searched in S402 (S403). For example, the information management apparatus 10 may generate display data including a list of M documents searched in S402 as a search result.

  The information management apparatus 10 provides the search result generated in S403 to the information processing terminal 20 that has requested the search (S404). For example, the information processing terminal 20 may display a list of documents included in the search result received from the information management apparatus 10.

  According to the information providing process described above, it is possible to provide a user with information on a document having a high value in a specified period among documents satisfying a specified condition.

[3-4-2. Second information providing process]
Next, as an example of the second information provision processing, an example will be described in which information on a document having a high document activity level is provided to the user in a specified period. The activity is data indicating the degree of attention and utilization of the document, and details of the activity calculation process will be described later.

  FIG. 12 shows a flowchart of the second information providing process. As illustrated in FIG. 12, the information management apparatus 10 receives a search request for ranking based on activity from, for example, the information processing terminal 20 operated by the user (S501). For example, the search request may include a specified period, a keyword, a document format, a display number (for example, L), and the like.

  Based on the search request received from the information processing terminal 20, the information management apparatus 10 calculates the degree of activity for a document that satisfies a specified condition (for example, keyword, document format) (S502). Here, details of the activity calculation processing will be described with reference to the flowchart shown in FIG.

As shown in FIG. 13, the information management apparatus 10 sets a designated period based on the search request received in S501 of FIG. 12 (S601) and satisfies a designated condition (for example, keyword, document format). Documents D _{1 to} D _K are selected (S602). K may be an integer of 1 or more.

Information management device 10 initializes a variable i to 1 (S603), the evaluation value management table to obtain evaluation data about the document _{D i} in the specified time period (S604). For example, the information management apparatus 10, the evaluation value management table includes a document ID of the document D _i, good as the evaluation date and time to find a record in the specified period to get.

Information management apparatus 10 calculates the change amount ΔVi evaluation value of the document _{D i} in the specified time period (S605). For example, the information management apparatus 10 may calculate the total amount of change in the evaluation value of the specified time period for document D _i (period the evaluation value) as [Delta] Vi, and the last accumulated evaluation value in the specified time period A difference from the first cumulative evaluation value may be calculated as ΔVi.

Information management apparatus 10 calculates the total Si in the number of accesses to the document _{D i} in the specified time period (S606). For example, the information management apparatus 10, the number of accesses within a specified period for the document D _i, obtained from the evaluation value management table may as to obtain a Si sums the number of accesses obtained.

The information management apparatus 10 calculates the activity AVi of the document D _i within the specified period based on the change amount ΔVi of the evaluation value of the document D _i within the specified period and the total access number Si (S607). For example, the information management apparatus 10 may calculate the activity AVi by the following equation (4). Α and β are predetermined coefficients (for example, α = 1 and β = 1 may be used), and may be replaced with 0 when the change amount ΔVi is less than 0.
AVi = α · ΔVi + β · Si (4)

  If the variable i has not reached K (S608: N), the information management apparatus 10 increments the variable i (adds 1) (S609), returns to S604, repeats the subsequent processing, and then returns to the variable i. If K has reached K (S608: Y), the process of calculating the activity of the document is finished, and the process returns.

  Here, returning to FIG. 12, the description will be continued. The information management apparatus 10 searches for documents of L in descending order of activity from the documents whose activity is calculated in S502 (S503).

  Next, the information management apparatus 10 generates a search result based on the document searched in S503 (S504). For example, the information management apparatus 10 may generate display data including a list of L documents searched in S503 as a search result.

  The information management apparatus 10 provides the search result generated in S504 to the information processing terminal 20 that has requested the search (S505). For example, the information processing terminal 20 may display a list of documents included in the search result received from the information management apparatus 10.

  According to the information providing process described above, it is possible to provide a user with information on a document having a high activity level in a specified period among documents satisfying a specified condition.

  In response to a request from the information processing terminal, the information management device provides the information processing terminal with both a high-ranked document list based on the cumulative evaluation value and a high-ranked document list based on the activity level. Also good.

  The present invention is not limited to the above embodiment. For example, in the above embodiment, the information management apparatus 10 that manages document data has been described as an example. However, the present invention may be applied to the information management apparatus 10 that manages data other than document data. Of course.

Claims (7)

A plurality of data, and acquisition means for acquiring operation history information performed on each of the plurality of data by the user;
Based on operation history information for the plurality of data, a plurality of data sets selected from the plurality of data satisfy a predetermined condition for each of a plurality of relationships between the data. Determination means for determining whether or not each of the plurality of relations has each based on whether or not
Setting means for associating and setting a relationship determined by the determination means that the data set has for each of the plurality of data sets;
For each of the plurality of relations , an integrated value of the number of relations set by the setting means within the target period for the target data of the plurality of data and a weight determined for the relation is calculated, and the plurality of relations Calculation means for calculating an evaluation value of the data of the target in the target period based on a total of a plurality of the integrated values calculated for each relationship ;
Information management device including For the target data, based on a plurality of evaluation values respectively calculated by the calculating means in each of a plurality of periods, and a plurality of weights whose values are determined to be smaller in the past period for each of the plurality of periods. The information management apparatus according to claim 1 , further comprising cumulative evaluation value calculation means for calculating a cumulative evaluation value of the target data. The cumulative evaluation value calculating means calculates a cumulative evaluation value in a designated period received from the terminal for each of one or more data among the plurality of data,
The information management apparatus according to claim 2 , wherein data selected based on a cumulative evaluation value of the one or more data in the specified period is provided to the terminal. For each of one or more of the plurality of data, the one or more based on the change amount of the evaluation value respectively calculated by the calculation means in each of the plurality of periods within the specified period received from the terminal An activity calculation means for calculating the activity of each of the data of
The information management device according to any one of claims 1 to 3 , wherein data selected based on an activity of the one or more data in the specified period is provided to the terminal. The activity calculation means calculates the activity for each of the one or more data based on the amount of change in the evaluation value in the specified period and the number of accesses in the specified period. The information management device according to claim 4 . A plurality of data acquisition hand stage user acquires the operation history information made to each of the plurality of data,
Based on operation history information for the plurality of data, a plurality of data sets selected from the plurality of data satisfy a predetermined condition for each of a plurality of relationships between the data. based on whether the decision hands stage determines whether each having a plurality of relationships,
Set hand stage sets in association with the determined relationship between the set of the data has by the determination unit to each of said plurality of data sets and,
For each of the plurality of relations , an integrated value of the number of relations set by the setting means within the target period for the target data of the plurality of data and a weight determined for the relation is calculated, and the plurality of relations A program for causing a computer to function as calculation means for calculating an evaluation value of data of a target in the target period based on a total of the plurality of integrated values calculated for each relationship . Including an information processing terminal and an information management device;
The information processing terminal
A transmission means for transmitting a plurality of data and operation history information performed on each of the plurality of data by the user to the information management device;
The information management device includes:
An acquisition means for acquiring the plurality of data and the operation history information transmitted by the transmission means;
Based on operation history information for the plurality of data, a plurality of data sets selected from the plurality of data satisfy a predetermined condition for each of a plurality of relationships between the data. Determination means for determining whether or not each of the plurality of relations has each based on whether or not
Setting means for associating and setting a relationship determined by the determination means that the data set has for each of the plurality of data sets;
For each of the plurality of relations , an integrated value of the number of relations set by the setting means within the target period for the target data of the plurality of data and a weight determined for the relation is calculated, and the plurality of relations Calculating means for calculating an evaluation value of the target data in the target period based on a total of the plurality of integrated values calculated for each relationship .

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