JP6759720B2 - Information processing equipment and information processing programs - Google Patents

Description

The present invention relates to an information processing device and an information processing program.

Patent Document 1 has an object of presenting tag candidates for resources newly registered in a database so that the resources can be easily tagged, and a plurality of resources already registered in the database. By calculating the similarity of newly registered resources to each of the registered resources of, and selecting the tags attached to the registered resources with high similarity as candidates for the tags to be assigned to the newly registered resources, the database is newly added. It is disclosed that tag candidates can be presented to registered resources as well, and tags can be added more easily than in the past.

The subject of Patent Document 2 is to prevent the tag from being scattered based on the original tag of a specific user and to prevent the presentation of expressions unrelated to the topic, and the tagging support device inputs using the tagging document database. Tag feature A tag feature that registers words and phrases characteristic of each topic based on a topic determination means that determines the topic of a document and a group of documents with tags corresponding to each topic belonging to the tagged document database. Tag the document with the phrase database generation means, the feature phrase extraction means for extracting characteristic words related to the topic from the input document using the tag feature phrase database based on the determined topic, and the tag feature phrase database. It has a tag candidate presenting means for presenting a tag corresponding to the determined topic and the extracted characteristic phrase as a tag candidate to a user who intends to use the tag candidate, and the tag candidate selects and does not select the tag candidate. It is disclosed that it is presented based on the tag selection result base that records the frequency of.

In Patent Document 3, keyword candidates are extracted from the target document and the documents linked thereto, the keywords of the target document are recognized by integrating them, and the keywords are collated with the keywords in the classification knowledge. It is disclosed that a document is categorized and a keyword or a document access frequency (corresponding object) related to the document linked to the document is additionally arranged and displayed when the document is displayed.

JP-A-2007-272390 JP-A-2010-026996 International Publication No. 99/14690

In person introduction (profile) such as SNS (Social Networking Service), there is a "tag" function that can register the user's specialty in words.
Since the tag is added manually, the tag may be leaked or exaggerated.
An object of the present invention is to provide an information processing device and an information processing program that extract a word as a tag from a document in which a user is involved.

The gist of the present invention for achieving such an object lies in the inventions of the following items.
The invention of claim 1 presents the word as a tag indicating the user's specialty in an extraction means for extracting a word indicating the user's specialty from a document in which the user is involved and in introducing the user's person. and presenting means for using the operation history, for each of the tags, have a classification means for classifying the user of an operation performed on the document extracted the tag, said extraction means of the document , A word having a large number of occurrences is extracted as a word indicating the specialty, and the presenting means is an information processing apparatus that presents the result of classification by the classification means for each tag .

The invention of claim 2 is the information processing apparatus according to claim 1, wherein the presenting means is associated with the tag and a document from which the word is extracted is presented.

The invention of claim 3 presents the word as a tag indicating the user's specialty in an extraction means for extracting a word indicating the user's specialty from a document in which the user is involved and in introducing the user's person. The extraction means extracts a word having a large number of occurrences from the document as a word indicating the specialty, and the presentation means presents a link to the document in association with a tag. , An information processing device.

The invention of claim 4 is an extraction means for extracting a word indicating the user's specialty from a document in which the user is involved, and a person introduction of the user, wherein the word indicates the user's specialty. and presenting means for presenting the tag, by using the operation history, for each of the tag to function as classification means for classifying the user of an operation performed on the document extracted the tag, the extraction means, the A word having a large number of occurrences in a document is extracted as a word indicating the specialty, and the presenting means is an information processing program that presents the result of classification by the classification means for each tag .
The invention of claim 5 is an extraction means for extracting a word indicating the user's specialty from a document in which the user is involved, and a person introduction of the user, wherein the word indicates the user's specialty. It functions as a presenting means for presenting as a tag, the extracting means extracts a word having a large number of occurrences from the document as a word indicating the specialty, and the presenting means associates a link to the document with the tag. It is an information processing program to be presented.

According to the information processing device of claim 1, a word as a tag is extracted from a document in which the user is involved. In addition, it becomes possible to display what kind of operation the user has performed on the document used for extracting the tag.

According to the information processing apparatus of claim 2, a document in which a word corresponding to the tag is extracted is associated with the tag and presented.

According to the information processing device of claim 3, a word as a tag is extracted from a document in which the user is involved. In addition, a word having a large number of occurrences in a document can be extracted as a word indicating specialty, and a link to the document can be presented in association with a tag.

According to the information processing program of claim 4, a word as a tag is extracted from a document in which the user is involved. In addition, it becomes possible to display what kind of operation the user has performed on the document used for extracting the tag.
According to the information processing program of claim 5, a word as a tag is extracted from a document in which the user is involved. In addition, a word having a large number of occurrences in a document can be extracted as a word indicating specialty, and a link to the document can be presented in association with a tag.

It is a conceptual module configuration diagram about the configuration example of this embodiment. It is explanatory drawing which shows the system configuration example using this embodiment. It is a flowchart which shows the processing example by this embodiment. It is a flowchart which shows the processing example by this embodiment. It is explanatory drawing which shows the data structure example of a profile table. It is explanatory drawing which shows the data structure example of a document table. It is explanatory drawing which shows the data structure example of a mail table. It is explanatory drawing which shows the data structure example of a schedule table. It is explanatory drawing which shows the data structure example of the operation history table. It is explanatory drawing which shows the data structure example of the tag management table. It is explanatory drawing which shows the data structure example of the evidence display rule. It is explanatory drawing which shows the presentation example of the profile display screen. It is explanatory drawing which shows the presentation example of the evidence display screen. It is explanatory drawing which shows the presentation example of the display screen by evidence operation. It is explanatory drawing which shows the presentation example of the tag generation setting screen. It is a block diagram which shows the hardware configuration example of the computer which realizes this embodiment.

First, before explaining the present embodiment, the premise or the information processing device using the present embodiment will be described. It should be noted that this description is intended to facilitate understanding of the present embodiment.
Profiles such as SNS have a "tag function" that allows users to register their expertise in words. In addition, there may be a feature that is highlighted when another user tags it. With this tag function, you can see the user's expertise in a list. In addition, it is possible to incorporate objective evaluation by tagging from other users.
However, if a user (including himself or another user) manually sets the tag, the tagging method differs depending on the individual, resulting in duplication, omission, and a difference in level feeling. If there is a possibility of leakage or exaggeration in the tag, it cannot be said that the reliability is sufficient. Therefore, the user who browsed the tag could not judge the degree of specialty on the basis.

Hereinafter, an example of a preferred embodiment for realizing the present invention will be described with reference to the drawings.
FIG. 1 shows a conceptual module configuration diagram for a configuration example of the present embodiment.
The module generally refers to parts such as software (computer program) and hardware that can be logically separated. Therefore, the module in this embodiment refers not only to the module in the computer program but also to the module in the hardware configuration. Therefore, in the present embodiment, a computer program for functioning as those modules (a program for causing the computer to execute each procedure, a program for causing the computer to function as each means, and each function for the computer). It also serves as an explanation of the program), system and method for realizing the above. However, for convenience of explanation, "remember", "remember", and equivalent words are used, but these words are stored in a storage device or stored when the embodiment is a computer program. It means that the device is controlled to store it. Further, the modules may have a one-to-one correspondence with the functions, but in mounting, one module may be configured by one program, a plurality of modules may be configured by one program, and conversely, one module may be configured. May be composed of a plurality of programs. Further, the plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers by a computer in a distributed or parallel environment. It should be noted that one module may include another module. In addition, hereinafter, "connection" is used not only for physical connection but also for logical connection (data transfer, instruction, reference relationship between data, etc.). "Predetermined" means that it is determined before the target process, not only before the process according to the present embodiment starts, but also after the process according to the present embodiment starts. However, if it is before the target process, it is used with the intention that it will be determined according to the situation / state at that time or according to the situation / state up to that point. When there are a plurality of "predetermined values", they may be different values, or two or more values (including all values, of course) may be the same. Further, the description "if A, do B" is used to mean "determine whether or not it is A, and if it is determined to be A, do B". However, this excludes cases where it is not necessary to determine whether or not it is A.
In addition, a system or device is configured by connecting a plurality of computers, hardware, devices, etc. by communication means such as a network (including a one-to-one correspondence communication connection), and one computer, hardware, device, etc. It also includes cases where it is realized by such means. "Device" and "system" are used as synonymous terms. Of course, the "system" does not include anything that is nothing more than a social "mechanism" (social system) that is an artificial arrangement.
In addition, for each process by each module or when multiple processes are performed in the module, the target information is read from the storage device, and after the processes are performed, the process results are written to the storage device. is there. Therefore, the description of reading from the storage device before processing and writing to the storage device after processing may be omitted. The storage device here may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

The information processing device 100 according to the present embodiment presents a tag indicating the specialty of the user, and as shown in the example of FIG. 1, the evidence recording module 110, the cooperation system DB 120, the tag generation module 130, It has an evidence association module 140, a tag classification module 150, a tag / evidence DB 160, and a tag display module 170. A tag is a word (also called a word) that indicates specialty. This "specialty" may include the area, experience, etc. in which the target user has been active. Further, the "word" may include a term, a short phrase, or the like. In addition, since the user often has a plurality of specialties, the tag (tag group) presented as the user's personal introduction is generally expressed as a list of short words.
The information processing device 100 is connected to the cooperation system 190 via a communication line. There may be a plurality of cooperation systems 190 connected to the information processing device 100.

The evidence recording module 110 is connected to the cooperation system DB 120 and the cooperation system 190. The evidence recording module 110 extracts documents and operation histories related to the target user from the cooperation system 190 and stores them in the cooperation system DB 120. For example, the evidence recording module 110 acquires and records a document generated by a user's activity and a document as a deliverable from the cooperation system 190. A document (also called a file) is text data, numerical data, graphic data, image data, video data, audio data, etc., or a combination thereof, which is a target of storage, editing, searching, etc., and is a system or use. Those that can be exchanged as individual units between persons, including those similar to these. Specifically, it includes a document created by a document creation program, an image read by an image reading device (scanner or the like), a Web page, and the like.
Further, the evidence recording module 110 may limit the documents to be extracted by the tag generation module 130. In this case, the tag generation module 130 may extract words according to the restrictions imposed by the evidence recording module 110. That is, it limits the information used to generate tags. It makes it possible to protect privacy and ensure security. The restriction process will be described later with reference to the example of FIG.

The cooperation system DB 120 is connected to the evidence recording module 110, the tag generation module 130, the evidence association module 140, and the tag classification module 150. The cooperation system DB 120 stores information on the cooperation system 190 used by the user. For example, the log in the cooperation system 190, the generated document, and the like are stored. In other words, it memorizes the user's activities and documents showing the deliverables, which memorizes the specific activities that make use of his expertise.
The cooperation system DB 120 stores, for example, a document table 600, a mail table 700, a schedule table 800, and an operation history table 900.

FIG. 6 is an explanatory diagram showing an example of a data structure of the document table 600. The document table 600 is information acquired from the cooperation system (document management system) 190A, and has a document ID column 610, a title column 620, a creator column 630, a creation date and time column 640, and a URL column 650. The document ID column 610 stores information (document ID: IDentification) for uniquely identifying a document in the present embodiment. The title column 620 stores the title of the document. The creator column 630 remembers the creator of the document. The creation date and time column 640 stores the creation date and time (year, month, day, hour, minute, second, second or less, or a combination thereof) of the document. The URL field 650 stores the URL that stores the document.

FIG. 7 is an explanatory diagram showing an example of a data structure of the mail table 700. The mail table 700 is information acquired from the cooperation system (mail system) 190B, and is mail ID column 710, transmission date / time column 720, reception date / time column 730, sender column 740, recipient column 750, title column 760, URL. It has a column 770, an attachment file presence / absence column 780, and an attachment file URL column 790. The mail ID column 710 stores information (mail ID) for uniquely identifying the mail in the present embodiment. The transmission date / time column 720 stores the transmission date / time of the mail. The reception date / time column 730 stores the reception date / time of the mail. The sender field 740 stores the sender of the mail. The recipient column 750 stores the recipient of the mail. The title column 760 stores the title of the mail. The URL field 770 stores the URL that stores the mail. The attached file presence / absence column 780 stores the presence / absence of the attached file of the mail. The attached file URL field 790 stores the URL that stores the attached file.

FIG. 8 is an explanatory diagram showing an example of a data structure of the schedule table 800. The schedule table 800 is information acquired from the cooperation system (schedule management system) 190C, and has a schedule ID column 810, a user ID column 820, a date and time column 830, a subject column 840, and an explanation column 850. The schedule ID column 810 stores information (schedule ID) for uniquely identifying the schedule (schedule) in the present embodiment. The user ID column 820 stores information (user ID) for uniquely identifying the user who performs the schedule in the present embodiment. The date and time column 830 stores the scheduled date and time. The subject column 840 stores the subject of the schedule. The explanation column 850 stores the explanation of the schedule.

FIG. 9 is an explanatory diagram showing an example of a data structure of the operation history table 900. The operation history table 900 is operation history information in each cooperation system 190, and has a log ID column 910, a user ID column 920, a cooperation system column 930, a date and time column 940, an operation target column 950, and an operation column 960. .. The log ID column 910 stores the log ID. The user ID column 920 stores the user ID of the user who performed the operation to be logged. The cooperation system column 930 stores the cooperation system in which the log is performed. The date and time column 940 stores the date and time when the operation to be logged is performed. The operation target column 950 stores the target in the operation of the log target. The operation column 960 stores the operation to be logged. For example, there are operations such as "view", "create", "review", and "join a meeting". The operations in the operation column 960 are used as the activity type in the activity type column 1050 of the tag management table 1000, which will be described later.

The tag generation module 130 is connected to the cooperation system DB 120, the evidence association module 140, and the tag / evidence DB 160. The tag generation module 130 extracts a word indicating the user's specialty from the document in which the user is involved. Here, as "the user is involved", for example, there are document creation, viewing, e-mail transmission, reception, and the like. For example, the tag generation module 130 extracts words from a document generated by a user's activity and a document as a deliverable stored in the cooperation system DB 120, and stores the word as a tag. The document from which words are extracted is also called evidence (evidence, grounds). For word extraction by the tag generation module 130, an existing natural language processing technique (morphological analysis or the like) may be used. The processing performed by the tag generation module 130 will be described later with reference to examples such as FIGS.

The evidence association module 140 is connected to the cooperation system DB 120, the tag generation module 130, the tag classification module 150, and the tag evidence DB 160. The evidence association module 140 associates (associates) with a tag a document (evidence) indicating the activity or product that is the source of the tag. It makes it possible to confirm the evidence from the tag. For example, when the cursor is placed on a tag, typical evidence (such as a document excerpt) may be displayed, and when the tag is clicked, a list of other evidence may be displayed. These processes will be described later with reference to examples such as FIGS. 12 and 13.
In addition, the evidence association module 140 may extract a document from which a word corresponding to the tag can be extracted from the tag set manually.
In other words, the manually added tags are associated with relevant evidence. Evidence of the specialty that the user himself (or may be another user, so-called other recommendation) wants to appeal or introduce is automatically generated and confirmed.
The evidence association module 140 may also allow the tag to be manually associated with evidence. This is to enable the addition and confirmation of exceptional activities that are not stored in the cooperation system DB 120 (or that are not recorded in the cooperation system 190) and information on other cooperation systems 190 that are difficult to cooperate with as evidence. is there.

The tag classification module 150 is connected to the cooperation system DB 120, the evidence association module 140, and the tag / evidence DB 160. The tag classification module 150 classifies tags into types of operations by the user (including types of activities). For example, the tag classification module 150 classifies tags based on the operation content of the evidence. Of course, the tag is associated with the type of user operation. Then, the tag display module 170 may present tags for each classification based on the processing result of the tag classification module 150. This is so that the degree of expertise of the user can be understood. For example, tags can be checked by type such as "view", "create", "review", "participate in a meeting", etc., and what kind of activity is being used is displayed. Good. The classification process will be described later with reference to the example of FIG.

The tag evidence DB 160 is connected to a tag generation module 130, an evidence association module 140, a tag classification module 150, and a tag display module 170. The tag / evidence DB 160 stores the generated tag, its evidence information, and the operation content.
The tag evidence DB 160 stores, for example, a profile table 500 and a tag management table 1000. FIG. 5 is an explanatory diagram showing an example of a data structure of the profile table 500. The profile table 500 has a user ID column 510, a user name column 520, a telephone number column 530, an email address column 540, a career column 550, a photo column 560, and a tag ID column 570. The user ID column 510 stores the user ID. The user name field 520 stores the name of the user. The telephone number field 530 stores the telephone number of the user. The e-mail address field 540 stores the e-mail address of the user. The biography column 550 stores the biography of the user. The photo column 560 stores a photo of the user. In the present embodiment, the tag ID field 570 stores information (tag ID) for uniquely identifying the tag.

FIG. 10 is an explanatory diagram showing an example of a data structure of the tag management table 1000. The tag management table 1000 has a tag ID column 1010, a tag name column 1020, an evidence quantity column 1030, an evidence URL column 1040, and an activity type column 1050. In the present embodiment, the tag ID column 1010 stores information (tag ID) for uniquely identifying the tag. The tag name field 1020 stores the name of the tag. The evidence quantity column 1030 stores the number of evidences associated with the tag. This value is the number of pairs of the evidence URL column 1040 and the activity type column 1050 following the evidence quantity column 1030. The evidence URL field 1040 stores the URL in which the evidence associated with the tag is stored. The activity type column 1050 stores the activity type (type of operation) of the evidence. For example, as described above, there are types such as "view", "create", "review", and "participate in a meeting". The tag classification module 150 classifies the activity types in the activity type column 1050. The activity type column 1050 corresponds to the operation column 960 of the operation history table 900.

The tag display module 170 is connected to the tag evidence DB 160. The tag display module 170 presents a word as a tag indicating the user's specialty in introducing the user's person. The tag display module 170 displays, for example, the tags generated by the tag generation module 130 on the screen.
The tag display module 170 presents a user's profile using, for example, the profile table 500. Then, the tag display module 170 uses, for example, the tag management table 1000, and uses the tag name corresponding to the tag ID, the evidence associated with the tag, and the activity type to provide information about the tag in the user's profile. To present.
Further, the tag display module 170 may present the tag in association with the document from which the tag generation module 130 has extracted the word. For example, the tag display module 170 links the tag to the document (evidence) from which the tag is extracted.

In addition, the tag display module 170 may present evidence of tag generation using, for example, the evidence display rule 1100. FIG. 11 is an explanatory diagram showing an example of a data structure of the evidence display rule 1100. The evidence display rule 1100 has a cooperation system column 1110, a tag generator column 1120, an excerpt column 1130, and an operation column 1140. The cooperation system column 1110 stores the cooperation system. The tag generator field 1120 stores the tag generator in the linked system. That is, it remembers the part of the document that should be displayed as evidence. Excerpt column 1130 stores the subject of the excerpt to outline the evidence. The operation field 1140 stores the operation (user activity) to be the target of tag generation performed in the cooperation system. In other words, it indicates that the tag was generated because this operation was performed on the document as evidence in the cooperation system. An example of evidence when the evidence display rule 1100 is used will be described later with reference to the example of FIG.

The cooperation system 190 is connected to the evidence recording module 110 of the information processing device 100. The cooperation system 190 is a system such as a document management system, a mail system, a calendar management system (schedule management system), a ticket management system, and a source code management system used by users. It is a system that users mainly use to do their jobs (or to acquire and enhance their expertise). In the computer program development (software development), the ticket management system manages each task such as work to be performed and bugs to be fixed by registering it as a ticket in the project. For example, one ticket is created for each task, and the content, priority, person in charge, due date, progress status, etc. of the task are recorded and managed. The source code control system, also called a version control system, is a system for managing the change history of files created and edited on a computer. In particular, it is often used for source code management in computer program development. In addition to this, the cooperation system 190 may include an instant messenger, an education system for acquiring qualifications or skills, and the like.

For example, the information processing device 100 performs the following processing.
Tags are automatically generated from documents created / viewed by users, comments, and documents (evidence) created by participating meetings. Furthermore, the evidence is associated with the tag by "type of operation" such as "reference", "edit", "review", "hosted a meeting", "participated in a meeting", and "attached to an email". By automatically generating tags, you can eliminate leaking or exaggerated tags and increase the reliability of tags. Then, by giving evidence and its "type of operation", it is possible to judge the degree of specialization based on the grounds.

FIG. 2 is an explanatory diagram showing an example of a system configuration using the present embodiment.
Information processing device 100, cooperation system (document management system) 190A, cooperation system (mail system) 190B, cooperation system (calendar management system) 190C, cooperation system (ticket management system) 190D, cooperation system (source code management system) 190E , The user terminal 200A, the user terminal 200B, and the user terminal 200C are connected to each other via the communication line 290. The communication line 290 may be wireless, wired, or a combination thereof, and may be, for example, the Internet as a communication infrastructure, an intranet, or the like. Further, the functions of the information processing device 100 and the cooperation system 190 may be realized as a cloud service.
For example, the user of the user terminal 200A usually works using the cooperation system 190. Then, when the user terminal 200B presents the profile of the user of the user terminal 200A in the SNS or the like, the information processing device 100 automatically generates a tag from the operation of the user of the user terminal 200A in the cooperation system 190. Present. The user of the user terminal 200B will be able to judge an objective specialty of the user of the user terminal 200A.

FIG. 3 is a flowchart showing a processing example according to the present embodiment. The processing according to this flowchart may be performed each time the profile is presented, or may be performed in advance, the processing result may be stored, and when the profile is presented, the processing result may be presented. Good.
In step S302, the tag generation module 130 searches the information in the cooperation system DB 120, determines whether or not there is a document or the like created or viewed by the target user, and if so, proceeds to step S304. In other cases, the process ends (step S399).
In step S304, the tag generation module 130 extracts keywords from the title, contents, etc. of the document or the like. For keyword extraction, existing algorithms such as software development libraries provided by open source and morphological analysis used in search engines may be used. Further, the keyword may be a predetermined word.

In step S306, the tag generation module 130 counts the appearance degree (number of appearances) of each keyword. Further, at this time, similar keywords may be regarded as the same. Regarding the process of determining whether or not they are similar, a set of similar keywords may be defined in advance, and if the definition is applicable, it may be determined to be similar.
In step S308, the tag generation module 130 adds the top N (for example, 3) of the keywords having a large number of appearances to the user's tag.
In this example, the extracted keyword is used as it is as a tag, but if the keyword is directly used as a tag, it may not be an appropriate word. For the relationship between the keyword and the tag actually generated, for example, the technique shown in Patent Document 2 may be used.

FIG. 4 is a flowchart showing a processing example according to the present embodiment. Step S410 is added to the flowchart shown in the example of FIG. The processing according to this flowchart may be performed each time the profile is presented, or may be performed in advance, the processing result may be stored, and when the profile is presented, the processing result may be presented. Good.
In step S402, the tag generation module 130 determines whether or not there is a document or the like created or viewed by the user, proceeds to step S404 if there is, and ends the process in other cases (step S499).
In step S404, the tag generation module 130 extracts keywords from the title, contents, etc. of the document or the like. For keyword extraction, existing algorithms such as software development libraries provided by open source and morphological analysis used in search engines may be used. Further, the keyword may be a predetermined word.

In step S406, the tag generation module 130 counts the appearance degree (number of appearances) of each keyword. Further, at this time, similar keywords may be regarded as the same. Regarding the process of determining whether or not they are similar, a set of similar keywords may be defined in advance, and if the definition is applicable, it may be determined to be similar.
In step S408, the tag generation module 130 adds the top N (for example, 3) of the keywords having a large number of appearances to the user's tag.
In step S410, the evidence association module 140 associates the tag with the document or the like to be processed in step S404.
In this example, the extracted keyword is used as it is as a tag, but if the keyword is directly used as a tag, it may not be an appropriate word. For the relationship between the keyword and the actually generated tag, for example, the technique shown in Patent Document 2 may be used.

FIG. 12 is an explanatory diagram showing a presentation example of the profile display screen 1200.
The SNS or the like displays the tag display area 1210, the evidence summary display area 1220, and the cursor 1230 in the profile display screen 1200 as the presentation of the user profile. For example, user name (user name column 520 of profile table 500), telephone number (phone number column 530 of profile table 500), email address (email address column 540 of profile table 500), biography (biography column 550 of profile table 500). ), A photograph (photo column 560 of the profile table 500) and the like are presented.
In particular, the tag display module 170 presents within the tag display area 1210. In the tag display area 1210, for example, "network, system development, application software, middleware, translation consignment, security, database, operation management" is displayed as a tag. These present the contents of the tag name column 1020 of the corresponding tag management table 1000 by using the tag ID column 570 of the profile table 500. Of course, these tags are automatically generated by the tag generation module 130.
Then, when the cursor 1230 is moved to the tag by the user's operation in the tag display area 1210, typical information (excerpt of sentences, etc.) that serves as evidence of the tag is popped up and displayed. This is so that it is possible to confirm what kind of evidence information (activities, deliverables) the specialty tag is specifically associated with. For example, when the cursor 1230 is placed on the tag "Translation consignment", "Tag generator document: Translation resource list.xlsx", "Operation: Creation (document management system)", "Excerpt: ... Thai translation resource list ..." Is displayed.

Further, when the cursor 1230 is moved to the tag by the user's operation in the tag display area 1210 and clicked at that position, the evidence information of the tag is displayed in a list as in the evidence display screen 1300. This is so that specific activities and deliverables as evidence can be confirmed for the assigned specialty tag.
FIG. 13 is an explanatory diagram showing a presentation example of the evidence display screen 1300. The evidence display table 1310 is displayed on the evidence display screen 1300. The evidence display table 1310 has a tag generator column 1320, an excerpt column 1330, and an operation column 1340. The tag generator field 1320 displays the evidence that is the tag generator. Then, the displayed evidence may be linked to the actual information (file or the like). The excerpt column 1330 displays an excerpt of the evidence. The operation column 1340 displays the operation performed on the evidence and the cooperation system 190 that performed the operation.
For example, "translation resource list.xlsx" is displayed as the tag generator field 1320, "... Thai translation resource list ..." is displayed as the excerpt field 1330, and "creation (document management system)" is displayed as the operation field 1340. Is displayed. These are displayed using the evidence display rule 1100. That is, the evidence display table 1310 is displayed as follows.
(1) In the document management system, the "document title" is used as the display of the tag generator field 1320, the "text excerpt" is performed to create the display of the excerpt field 1330, and the operation field 1340 is displayed. Indicates that any of "(a) creation (history of registering a document), (b) browsing (history of browsing a document), (c) review (history of adding a comment to a document)" is the target. ing.
(2) In the mail system, "mail subject" is used as the display of the tag generator field 1320, "excerpt of the mail body" is performed to create the display of the excerpt field 1330, and the operation field 1340 is displayed. One of "(a) creation (history of sending an email), (b) browsing (history of opening an incoming email), (c) attachment to an email (history of attaching a document to an email)" is the target. It is shown that.
(3) In the schedule management system, the "plan name" is used as the display of the tag generator field 1320, and the "excerpt of the schedule description" is performed to create the display of the excerpt column 1330, and the operation field is performed. The display of 1340 indicates that either "(a) hosting a meeting (history of creating a meeting schedule) or (b) participating in a meeting (history of being invited to a meeting schedule)" is the target.
(4) In the ticket management system, the "ticket subject" is used as the display of the tag generator column 1320, and the "ticket explanation and comment excerpt" are performed to create the display of the excerpt column 1330. The display in column 1340 indicates that either "(a) ticket issuance (history of ticket issuance) or (b) comment addition (history of adding comments)" is the target.
(5) In the source code control system, "repository name" is used as the display of the tag generation source column 1320, and "commit comment, excerpt of the committed file name" is used to create the display of the excerpt column 1330. Then, as the display of the operation field 1340, either "(a) creation (history of adding source code), (b) modification (history of modifying source code), (c) deletion (history of deleting source code)" Indicates that the target is.

Next, an example in which the tag display module 170 presents the processing result by the tag classification module 150 will be shown. FIG. 14 is an explanatory diagram showing a presentation example of the evidence operation-specific display screen 1400.
The graph display screen 1410, cursor 1420, and evidence display table 1430 for each operation are displayed in the evidence operation display screen 1400. The evidence display table 1430 has a tag generator column 1440, an excerpt column 1450, and an operation column 1460. The operation-specific graph display screen 1410 displays a pie chart or the like showing the ratio of activity types. In the example of FIG. 14, in the tag "translation consignment", "viewing" is 58%, "creation" is 23%, "review" is 10%, and "participating in a meeting" is 9% as operations for evidence. It is shown that.
Here, when the cursor 1420 is moved to each item in the pie chart by the user's operation and clicked at that position, the evidence in the operation (“viewing” in the example of FIG. 14) is displayed in the evidence display table 1430.
For example, from the operation-specific graph display screen 1410, the degree of expertise of the user can be determined from the information as to whether the document is only viewed or whether the document is created or the document is reviewed a lot. In other words, it becomes possible to confirm not only the evidence (operation target) of the tag but also the activity for the evidence. For example, if you are often actively involved in creating, reviewing, etc. the document that is the evidence of the tag, you can judge that the specialty is high, but if the document is viewed a lot, It can be judged that the specialty is not high.

Next, a case of limiting the extraction of documents that serve as evidence will be described. FIG. 15 is an explanatory diagram showing a presentation example of the tag generation setting screen 1500.
In order to ensure security, the tag generation setting screen 1500 allows each user to specify information to be used for tag generation and information not to be used. Only the information specified to be used will be used for tag generation and its evidence. No tag is generated from the information that is not used, and it is not displayed as evidence. For example, the document management system has "document title" and "document excerpt", and the mail system has "email subject", "email body excerpt", and "attached file". In the system, there are "plan subject", "plan description", etc.

As illustrated in FIG. 16, the hardware configuration of the computer on which the program as the present embodiment is executed is a general computer, specifically, a personal computer, a computer that can be a server, and the like. That is, as a specific example, the CPU 1601 is used as the processing unit (calculation unit), and the RAM 1602, ROM 1603, and HD 1604 are used as the storage device. As HD1604, for example, a hard disk or SSD (Solid State Drive) may be used. A CPU 1601 that executes programs such as an evidence recording module 110, a tag generation module 130, an evidence association module 140, a tag classification module 150, and a tag display module 170, a RAM 1602 that stores the programs and data, and a RAM 1602 for starting the computer. ROM 1603 in which programs and the like are stored, HD 1604 which is an auxiliary storage device (may be a flash memory or the like) having a function as a cooperation system DB 120 and a tag evidence DB 160, a keyboard, a mouse, a touch screen, and a microphone. A reception device 1606 that accepts data based on the user's operation on the above, an output device 1605 such as a CRT, a liquid crystal display, and a speaker, a communication line interface 1607 for connecting to a communication network such as a network interface card, and these. It is composed of a bus 1608 for exchanging data by connecting the interfaces. A plurality of these computers may be connected to each other by a network.

Among the above-described embodiments, in the case of a computer program, the system of the present hardware configuration is made to read the computer program which is software, and the software and the hardware resources cooperate with each other to carry out the above-described embodiment. Is realized.
The hardware configuration shown in FIG. 16 shows one configuration example, and the present embodiment is not limited to the configuration shown in FIG. 16, and the module described in the present embodiment can be executed. All you need is. For example, some modules may be configured with dedicated hardware (for example, an Applied Special Integrated Circuit (ASIC)), and some modules are in an external system and connected by a communication line. Further, a plurality of systems shown in FIG. 16 may be connected to each other by a communication line so as to cooperate with each other. In addition to personal computers, mobile information and communication devices (including mobile phones, smartphones, mobile devices, wearable computers, etc.), home information appliances, robots, copiers, fax machines, scanners, printers, multifunction devices (scanners, printers, etc.) It may be incorporated in an image processing apparatus having any two or more functions such as a copying machine and a fax machine).

The described program may be stored in a recording medium and provided, or the program may be provided by a communication means. In that case, for example, the program described above may be regarded as an invention of "a computer-readable recording medium on which the program is recorded".
The "computer-readable recording medium on which a program is recorded" means a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, "DVD-R, DVD-RW, DVD-RAM, etc.", and DVD + RW. Standards such as "DVD + R, DVD + RW, etc.", compact discs (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), etc., Blu-ray discs (CD-RW) Blu-ray® Disc), optomagnetic disc (MO), flexible disc (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM® )), Flash memory, random access memory (RAM), SD (Secure Digital) memory card and the like.
Then, the whole or a part of the program may be recorded on the recording medium and stored, distributed, or the like. Further, by communication, for example, a wired network used for a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), the Internet, an intranet, an extranet, or wireless communication. It may be transmitted using a transmission medium such as a network or a combination thereof, or may be carried on a carrier.
Further, the program may be a part or all of other programs, or may be recorded on a recording medium together with a separate program. Further, the recording may be divided into a plurality of recording media. Further, it may be recorded in any mode as long as it can be restored, such as compression and encryption.

100 ... Information processing device 110 ... Evidence recording module 120 ... Cooperation system DB
130 ... Tag generation module 140 ... Evidence association module 150 ... Tag classification module 160 ... Tag / evidence DB
170 ... Tag display module 190 ... Cooperation system 200 ... User terminal 290 ... Communication line

Claims (5)

An extraction method that extracts words that indicate the user's specialty from the documents that the user is involved in,
In the introduction of the user, a presenting means for presenting the word as a tag indicating the user's specialty , and
By using the operation history, for each of the tags, they have a classification means for classifying the user of an operation performed on the document extracted the tag,
The extraction means extracts words having a large number of occurrences from the document as words indicating the specialty.
The presenting means presents the result of classification by the classification means for each tag.
Information processing device. The presenting means presents the tag in association with a document from which the extracting means has extracted the word.
The information processing device according to claim 1. An extraction method that extracts words that indicate the user's specialty from the documents that the user is involved in,
In the character introduction of the user, we have a presentation means for presenting the word as a tag that indicates the expertise of the user,
The extraction means extracts words having a large number of occurrences from the document as words indicating the specialty.
The presenting means presents a link to a document in association with a tag.
Information processing device. Computer,
An extraction method that extracts words that indicate the user's specialty from the documents that the user is involved in,
In the introduction of the user, a presenting means for presenting the word as a tag indicating the user's specialty , and
Using the operation history, each tag is made to function as a classification means for classifying the user's operations performed on the document from which the tag is extracted .
The extraction means extracts words having a large number of occurrences from the document as words indicating the specialty.
The presenting means presents the result of classification by the classification means for each tag.
Information processing program. Computer,
An extraction method that extracts words that indicate the user's specialty from the documents that the user is involved in,
In the introduction of the user, the word is made to function as a presentation means for presenting the word as a tag indicating the user's specialty .
The extraction means extracts words having a large number of occurrences from the document as words indicating the specialty.
The presenting means presents a link to a document in association with a tag.
Information processing program.

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