JP6573535B2 - Information processing apparatus, information processing method, and program - Google Patents

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program.

  Development of technology for acquiring information desired by a user from another apparatus with high accuracy or registering it in another apparatus in response to a request from the user is in progress. For example, Patent Document 1 discloses a schedule management system for registering a schedule including one or more events with respect to a calendar application that is an application capable of managing a schedule in a calendar format. In another application which is another application, a URL scheme including the calendar application to be registered in the schedule, a command to be executed for the calendar application, and a parameter for specifying the content of the schedule is generated. A URL scheme generation unit; a URL scheme notification unit for notifying the calendar application of the URL scheme generated by the URL scheme generation unit; and the calendar application based on the URL scheme notified by the URL scheme notification unit. The Moving to the schedule management system is characterized in that a URL scheme execution unit for executing processing designated is described by the command.

JP2015-118465A

  By the way, with the technique of patent document 1, based on the information input from the user, information is only acquired or registered. In this case, it is necessary for the user himself to consider and input information (so-called query) for searching for information desired by the user. If the input is inappropriate in the search system, the user's desired result may not be obtained. Thus, conventionally, there has been a case where a highly accurate answer cannot be made in response to a request from a user.

  An object of some aspects of the present invention is to provide an information processing apparatus, an information processing method, and a program capable of improving the accuracy of responses to requests.

  Another object of another aspect of the present invention is to provide an information processing system and an information processing method capable of achieving the effects described in the embodiments described later.

  In order to solve the above-described problem, according to one aspect of the present invention, a request analysis unit that analyzes a text including a request and extracts keyword information that represents the content of the request, and the request analysis unit that extracts the keyword information. An information processing apparatus comprising: a generation unit that generates an answer to the request based on keyword information and a predetermined condition.

  Further, according to one aspect of the present invention, a text including a request is analyzed, a first step of extracting keyword information representing the content of the request, the keyword information extracted in the first step, and a predetermined condition And a second step of generating an answer to the request based on the information processing method.

  According to another aspect of the present invention, a computer analyzes a text including a request and extracts keyword information representing the content of the request, the keyword information extracted in the first step, And a second step of generating an answer to the request based on the above condition.

  According to the embodiment of the present invention, it is possible to improve the accuracy of responses to requests.

It is a mimetic diagram showing an outline of an information processing system concerning a 1st embodiment of the present invention. It is a block diagram which shows the structure of the information processing system which concerns on the embodiment. It is a block diagram which shows the structure of the system cooperation server apparatus which concerns on the same embodiment. It is a figure which shows an example of the account information which concerns on the embodiment. It is a figure showing an example of extraction condition information concerning the embodiment. It is a flowchart which shows an example of the flow of a process by the system cooperation server apparatus which concerns on the embodiment. It is a schematic diagram which shows the specific example of the request and reply which concern on the embodiment. It is a block diagram which shows the structure of the information processing system which concerns on the 2nd Embodiment of this invention. It is a schematic diagram which shows the specific example of the request and reply which concern on the embodiment. It is a block diagram which shows the structure of the information processing system which concerns on the 3rd Embodiment of this invention. It is a schematic diagram which shows the specific example of the request and reply which concern on the embodiment.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
[First embodiment]
(Outline of information processing system 1)
A first embodiment of the present invention will be described.
FIG. 1 is a schematic diagram showing an outline of an information processing system 1 according to the present embodiment.
The information processing system 1 according to the present embodiment is a system that supports schedule adjustment. Here, as an example, a case will be described in which the information processing system 1 is an in-house system that supports business of a company and the user is an employee.

  In the information processing system 1, each employee can exchange messages with other employees using the terminal device 10. The message is mainly composed of text, but may include pictograms, figures, photographs, and the like. The message may be a natural sentence. The message is monitored by an in-house server device. This in-house server device has a function of adjusting a schedule by using, for example, an artificial intelligence AI. In the present embodiment, the schedule is information including a schedule and a free time. The schedule and the free time are associated with each time. In the case of a user, the schedule is a schedule of the user's action, and in the case of a facility, it is a use reservation. Free time is a time zone other than scheduled. That is, a schedule can be entered (secured) in the free time. On the other hand, it is not always appropriate to put a plurality of schedules in overlapping time zones. In the following, schedule adjustment refers to securing a schedule in idle time.

Here, a specific example of schedule adjustment by the artificial intelligence AI will be described.
For example, when a message transmitted from an employee includes a request for adjusting the schedule of a meeting, the artificial intelligence AI extracts keywords necessary for schedule adjustment such as a participant, a scheduled date, and a planned location. The artificial intelligence AI, for example, refers to the participant's schedule, determines the optimum time zone for the conference on the designated scheduled date and planned location, and reserves the conference room. At this time, the artificial intelligence AI sets not only the explicit extraction condition explicitly specified from the request content but also an implicit extraction condition such that there is no problem in the movement of the participant, and ensures the schedule. Then, the artificial intelligence AI sends a message to the requesting employee or the conference participant to notify the reservation content of the conference room. Since the artificial intelligence AI monitors the message, the schedule can be easily adjusted without starting another application as an extension of the message exchange with another employee.

As described above, in the information processing system 1, the artificial intelligence AI analyzes the message including the schedule adjustment request, and extracts the keyword information representing the request content. Further, the artificial intelligence AI generates an answer to the request based on the keyword information and the implicit extraction condition.
Thereby, the requesting employee can easily set an appropriate schedule without referring to the schedules of other participants or referring to the reservation status of the facility.
The above is the description of the outline of the information processing system 1.

(Configuration of information processing system 1)
Next, the configuration of the information processing system 1 will be described.
FIG. 2 is a block diagram illustrating a configuration of the information processing system 1.
The information processing system 1 includes a plurality of terminal devices 10-1, 10-2, 10-3,..., A system cooperation server device 20, a scheduler server device 30, and an external server device 40. In the following description, the terminal devices 10-1, 10-2, 10-3,. The system cooperation server device 20 and the scheduler server device 30 constitute a so-called in-house system. Various devices included in the information processing system 1 are connected to the network NW and can communicate with each other. For example, communication between the terminal device 10 and the system cooperation server device 20 is performed by HTTP (Hypertext Transfer Protocol).

  The network NW includes, for example, a mobile phone network, a PHS (Personal Handy-phone System) network, a VPN (Virtual Private Network) network, a dedicated communication line network, a WAN (Wide Area Network Network), and a LAN (Local Area Network) (LAN). It is an information communication network configured by a switched telephone network (Public Switched Telephone Network) or the like, or a combination thereof.

  The terminal device 10 is an electronic device such as a personal computer, a mobile phone, a tablet, a smartphone, a PHS, or a PDA (Personal Digital Assistant). The terminal device 10 is installed with an application for sending and receiving messages with other users. This application may be any application as long as it can send and receive messages, for example, a messenger application, a mailer application, and the like. A messenger application is an application that transmits and receives messages within a group composed of a plurality of predetermined users. For example, if a group is composed of four members, a message posted by one member is immediately distributed to the other three members. The distributed messages are classified into groups, for example, and are sequentially displayed in a thread format. A mailer application is an application that transmits and receives an electronic mail. In the mailer application, for example, a destination is specified each time a message is transmitted.

  The system cooperation server device 20 monitors messages transmitted and received between the terminal devices 10. Any method can be applied to the message monitoring method by the system cooperation server device 20. For example, the system cooperation server device 20 may monitor the message by relaying transmission / reception of the message between the plurality of terminal devices 10. Further, for example, when a message is transmitted from the terminal device 10, the system cooperation server device 20 may monitor the message by setting so that the message is also transmitted to the system cooperation server device 20. . Here, the system cooperation server apparatus 20 demonstrates the case where the transmission / reception of the message between the some terminal devices 10 is relayed as an example.

  The system cooperation server device 20 is provided with a schedule adjustment support function based on the artificial intelligence AI described above. However, the schedule adjustment support function may be realized by non-artificial intelligence. Artificial intelligence AI is software or a system that mimics the intellectual work performed by the human brain using a computer. Hereinafter, as an example, a case where the artificial intelligence AI is software that performs learning and inference will be described. Any known technique may be adopted as the technique of learning and inference using the artificial intelligence AI. In the following, details of processing related to learning and inference by the artificial intelligence AI are omitted.

The scheduler server device 30 is a server device that manages the schedule of employees and facilities. The scheduler server device 30 includes a schedule information storage unit 31.
The schedule information storage unit 31 stores schedule information representing employee schedules and facility schedules. The schedule information may represent a facility schedule. For example, the schedule of the employee is constituted by information such as a scheduled date and time, a scheduled time, a planned location, and other persons (participants) related to the schedule. The facility schedule includes, for example, information such as the use date and time, use time, user, and use purpose of the facility. For example, the scheduler server device 30 transmits schedule information or writes schedule information in response to a request from the system cooperation server device 20.
The external server device 40 is a server device outside the company. The external server device 40 stores information that can be referred to via the Internet, for example.
The above is the description of the configuration of the information processing system 1.

(Configuration of system cooperation server device 20)
Next, the configuration of the system cooperation server device 20 will be described.
FIG. 3 is a block diagram illustrating a configuration of the system cooperation server device 20.
The system cooperation server device 20 includes a communication unit 21, a storage unit 22, and a control unit 23.
The communication unit 21 includes a communication IC (Integrated Circuit), and communicates with other devices (for example, the terminal device 10 and the scheduler server device 30) included in the information processing system 1.
The storage unit 22 includes, for example, an HDD (Hard Disc Drive), a flash memory, an EEPROM (Electrically Erasable Programmable Read Only Memory), a ROM (Read Only Memory), and a RAM (Random Access Memory, etc.). Various programs to be executed by the CPU provided in the system cooperation server device 20 and results of processing executed by the CPU are stored.

The storage unit 22 includes an account information storage unit 221 and an extraction condition information storage unit 222.
The account information storage unit 221 stores account information. The account information is information related to a user of the information processing system 1, that is, an employee who uses the terminal device 10.
FIG. 4 is a diagram illustrating an example of account information according to the present embodiment.
In the example shown in FIG. 4, the account information includes information such as the last name, name, user ID, job title, and affiliation for each employee. The user ID is an ID set in the scheduler server device 30, and the system cooperation server device 20 refers to the requested participant's schedule information using this ID.

The extraction condition information storage unit 222 stores extraction condition information.
The extraction condition information is information used by the artificial intelligence AI to set the extraction condition in generating a response to the request.
FIG. 5 is a diagram illustrating an example of the extraction condition information according to the present embodiment.
In the example illustrated in FIG. 5, the extraction condition information describes information about keywords and information about extraction conditions for each keyword. Specifically, the information regarding the extraction conditions related to schedule adjustment (when “corresponding system” is “scheduler”) describes the number of people in the conference room, the equipment provided in the conference room, the related department of the place (building), etc. Has been. The keyword ID is an ID set in the scheduler server device 30, and the system cooperation server device 20 refers to the requested conference room schedule information using this ID. For example, the system cooperation server device 20 may refer to the extraction condition information and set that the number of participants is less than the accommodated number as the extraction condition. In addition, for example, the system cooperation server device 20 may refer to the extraction condition information and set as an extraction condition that the equipment is provided in accordance with the purpose of use. Further, for example, when reserving a facility, the system cooperation server device 20 may set an extraction condition to be a request from a related department of the facility.

The extraction condition includes an explicit extraction condition and an implicit extraction condition.
The explicit extraction condition is an extraction condition set based on the specified information in the request. For example, when a participant, a scheduled date, a planned location, and the like are described in the message, these pieces of information are considered to be conditions explicitly specified by the requester. Thus, the explicit extraction condition is set based on the information specified in the message.

  An implicit extraction condition is an extraction condition that is set based on information that is not specified in the request. For example, when the participant name is described in the request, the number of participants can be estimated from the participant name. Therefore, the system cooperation server device 20 determines that the number of participants more than the number of participants is the extraction condition in the facility extraction. In other words, the implicit extraction condition is a condition that is additionally set according to the contents of the explicit condition. Thus, the implicit extraction condition is a condition added by the system cooperation server device 20 in order to perform more appropriate schedule adjustment.

  The control unit 23 controls each configuration of the system cooperation server device 20. The control unit 23 functions, for example, when the CPU of the system cooperation server device 20 executes a program stored in the storage unit 22. However, the control unit 23 may be realized as hardware such as an LSI (Large Scale Integration) or an ASIC (Application Specific Integrated Circuit).

The control unit 23 includes a request analysis unit 231 and an answer generation unit 232. The request analysis unit 231 and the answer generation unit 232 are realized as, for example, an artificial intelligence AI.
The request analysis unit 231 acquires a message transmitted from the terminal device 10 via the communication unit 21. The request analysis unit 231 detects a schedule adjustment request from the acquired message. Here, the request analysis unit 231 may make a schedule adjustment request by an arbitrary method. For example, the request analysis unit 231 may detect a request based on text calling to its own device such as “AI-kun”, “To AI”, “@AI”, etc. Further, for example, the request analysis unit 231 If the request content is first detected from the context of the message and it is determined that the request is not a request for calling the message destination, it may be determined that the request is for the device itself.

  The request analysis unit 231 analyzes the message and identifies the request content. Specifically, in the case of a schedule adjustment request, the request analysis unit 231 extracts information such as participants, scheduled date / time, and planned location as keywords. However, the information such as the participant, the scheduled date and time, and the planned location may not be strictly specified. Information up to the scheduled date may be extracted instead of the scheduled date and time information. In this case, the request analysis unit 231 may determine that the time is not specified in the request. In addition, for example, floor information, building information, or the like may be extracted as the planned location instead of room information. In this case, the request analysis unit 231 may determine that the floor and the building are specified in the request and the room is not specified.

The request analysis unit 231 may correct expression fluctuation, ambiguity, and ambiguity in keyword extraction. For example, for the participant, the request analysis unit 231 collates the name of the participant extracted as a keyword with the account information, and uniquely identifies the participant. Further, the request analysis unit 231 may uniquely identify the location, facility, and equipment related to the request with reference to information corresponding to account information about the place, facility, and equipment. Thereby, for example, even if the name, affiliation, location, facility, etc. are not described in the message by the official name, the request analysis unit 231 can correctly analyze the request content.
The request analysis unit 231 outputs information representing the specified request content to the answer generation unit 232.

  In addition, the request analysis unit 231 transmits a message requesting addition of information to the requesting employee's terminal device 10 via the communication unit 21 when keywords cannot be sufficiently extracted from the message. For example, the request analysis unit 231 transmits a message inquiring about missing information when any of the participant, the scheduled date and time, and the planned location cannot be extracted. When a plurality of candidates are assumed as keywords due to fluctuations in expression or ambiguity, a message for inquiring which one of the candidates is used is transmitted. For example, when only the last name of the participant is specified at the time of request, there are cases where it is not possible to specify which employee is the participant because there are multiple employees with the same last name. In this case, the request analysis unit 231 transmits a message inquiring which employee is a participant. As described above, the system cooperation server device 20 makes an inquiry to the request source when there is an unclear part in the request content. Therefore, the system cooperation server device 20 can accurately grasp the contents of the request and generate a highly accurate answer.

  The answer generation unit 232 acquires schedule information from the scheduler server device 30 based on information representing the request content acquired from the request analysis unit 231. For example, the answer generation unit 232 acquires participant schedule information. For example, the answer generation unit 232 acquires facility schedule information.

The answer generation unit 232 generates an answer to the request with reference to the acquired various schedule information and extraction condition information.
First, schedule adjustment with reference to various schedule information will be described.
For example, when a participant, a planned location, and a planned date are specified in the request, and the time is not specified, the answer generation unit 232 refers to various schedule information on the specified scheduled date. Next, the answer generation unit 232 extracts a time zone in which the participant's schedule is not included as a candidate time zone. In addition, the answer generation unit 232 identifies candidate time zones in which the planned location is not reserved among the candidate time zones. The answer generation unit 232 describes the schedule of the request contents in the schedule information of each participant and the candidate time zone of the facility schedule, and secures a schedule. At this time, provisional reservation may be made until the requester's approval is obtained. When there are a plurality of candidate time zones, the answer generation unit 232 may select a candidate time zone for securing a schedule by an arbitrary method. For example, a plurality of candidate time zones may be notified to the requesting terminal device 10 to select candidate time zones for securing a schedule. Thus, the system cooperation server device 20 can perform appropriate schedule adjustment by extracting the vacancy of the participant's schedule and the vacancy of the facility schedule, and combining these vacancy.

  If the candidate time zone cannot be extracted, such as when there is no free time, the answer generation unit 232 generates an alternative schedule close to the request content. For example, a schedule that can be secured in a conference room that is about the same size as the original request content or another day is extracted. Thereby, the system cooperation server apparatus 20 can present an alternative even when the schedule cannot be adjusted according to the request content.

Next, schedule adjustment with reference to the extraction condition information will be described.
For example, when the planned location is not specified in the request and the number of participants can be identified, the answer generation unit 232 sets an implicit extraction condition that sets the planned location to a capacity that is equal to or greater than the number of participants. . Then, the schedule is adjusted with reference to the schedule information of the facility that satisfies the extraction condition.

  The extraction condition may be set with reference to arbitrary information as well as the request contents. For example, the answer generation unit 232 can set an implicit extraction condition based on information acquired from the external server device 40. Here, as an example, a case will be described in which the external server device 40 is a traffic information server device that provides travel time between two positions. For example, when a planned location is specified in the request content and another schedule is entered at a location away from the planned location, it is not always appropriate to extract a time zone near the schedule as a candidate. Therefore, the answer generation unit 232 acquires, from the external server device 40, the travel time between the planned place already reserved on the schedule and the planned place of the request content. Then, the answer generation unit 232 does not extract the scheduled time zone already secured on the schedule and the travel time from the planned planned location as candidates. Similarly, when the answer generation unit 232 intends to secure a schedule at a time close to the current time, the answer generation unit 232 extracts candidates based on the position of the participant and the travel time from the position to the planned location. Also good. That is, the answer generation unit 232 sets an implicit extraction condition for the travel time. As described above, the answer generation unit 232 sets an implicit extraction condition from the request content and secures a schedule so as to satisfy the set implicit condition, so that an appropriate schedule adjustment can be performed.

The answer generation unit 232 generates a message notifying the schedule adjustment result as an answer. The answer generation unit 232 transmits the generated message to the requesting terminal device 10. Moreover, when the plan is secured, the answer generation unit 232 may transmit a message indicating that the plan has been secured to the terminal devices 10 of the participants other than the requester.
The above is the description of the configuration of the system cooperation server device 20.

(Operation of system cooperation server device 20)
Next, the operation of the system cooperation server device 20 will be described.
FIG. 6 is a flowchart illustrating an example of a process flow by the system cooperation server device 20.
(Step S <b> 100) The control unit 23 acquires a message from the terminal device 10 via the communication unit 21. Then, the control part 23 advances a process to step S102.
(Step S102) The control unit 23 determines whether a request is detected from the message. When the request is detected (step S102; YES), the control unit 23 advances the process to step S104. When the request is not detected (step S102; NO), the control unit 23 returns the process to step S100.

(Step S <b> 104) The control unit 23 determines whether all the keywords representing the request contents have been detected. When all the keywords are detected (step S104; YES), the control unit 23 advances the process to step S108. When all the keywords are not detected (step S104; NO), the control unit 23 advances the process to step S106.
(Step S <b> 106) The control unit 23 transmits an inquiry message to the requesting terminal device 10 in order to acquire the missing keyword. Then, the control part 23 returns a process to step S100.
(Step S108) The control unit 23 specifies the request content. Then, the control part 23 advances a process to step S110.

(Step S <b> 110) The control unit 23 acquires schedule information related to the request from the scheduler server device 30. Then, the control part 23 advances a process to step S112.
(Step S112) The control unit 23 adjusts the schedule with reference to the extraction condition information and the schedule information. For example, the control unit 23 determines whether or not the requested schedule can be secured and whether or not there is a contradiction in the request contents. Then, the control part 23 advances a process to step S114.
(Step S114) The control unit 23 generates a message including the schedule adjustment result as an answer. Then, the control part 23 advances a process to step S116.
(Step S <b> 116) The control unit 23 transmits a message including an answer to the terminal device 10. Then, the control part 23 complete | finishes the process shown in FIG.
The above is the description of the operation of the system cooperation server device 20.

(Specific examples of requests and responses)
Next, a specific example of a request and an answer will be described with reference to FIG.
FIG. 7 is a schematic diagram illustrating a specific example of a request and a reply according to the present embodiment.
In the example shown in FIG. 7, the name of the participant, the planned location, and the planned time are specified and the schedule adjustment is requested. Here, if a facility having a smaller capacity than the number of participants is reserved, the facility may become narrow. Therefore, the system cooperation server device 20 sets extraction of a facility having a capacity of five or more as an implicit extraction condition. The system cooperation server device 20 extracts facilities satisfying this extraction condition at the planned location designated by the request. Further, the system cooperation server device 20 refers to the extracted facility schedule and the schedule of each participant, and specifies each idle time. Thereby, the system cooperation server apparatus 20 can ensure an appropriate schedule.
The above is a description of specific examples of requests and responses according to the present embodiment.

(Summary of the first embodiment)
As described above, the system cooperation server device 20 according to the present embodiment analyzes a text (for example, a message) including a request (for example, a schedule adjustment request), and keyword information (for example, a request content) Response analysis for the request based on the keyword analysis extracted by the request analysis unit 231 and the predetermined conditions (for example, implicit extraction conditions). And an answer generation unit 232 for generating.

  Thereby, the system cooperation server device 20 not only simply generates an answer reflecting the request content, but further narrows down the answers based on a predetermined condition when there are a plurality of answer candidates, for example. Therefore, the system cooperation server device 20 can improve the accuracy of the response to the request.

The predetermined condition is a condition that is additionally set according to the keyword information.
Thereby, the system cooperation server device 20 sets an additional condition related to the keyword information, and generates an answer. Therefore, the system cooperation server device 20 can improve the accuracy of the response to the request.

The request analysis unit 231 requests addition of text when keyword information cannot be extracted.
Thereby, the system cooperation server apparatus 20 can extract keyword information from the added text. That is, the system cooperation server device 20 can improve the extraction accuracy of the keyword information. Therefore, the system cooperation server device 20 can improve the accuracy of the response to the request.

Further, the answer generation unit 232 generates an alternative as an answer when the request cannot be achieved.
Accordingly, the system cooperation server device 20 can propose an alternative when the request cannot be achieved, for example, when a schedule that matches the request cannot be secured. Therefore, the system cooperation server device 20 can improve the accuracy of the response to the request.

The request is a schedule adjustment request, the predetermined condition is a condition related to the scheduled movement time length of the requester of the schedule adjustment request, and the answer generation unit 232 displays the schedule adjustment result as an answer. Generate information to represent.
As a result, the system cooperation server device 20 can ensure a schedule that is reasonable for the movement of the request source. Therefore, the system cooperation server device 20 can improve the accuracy of the response to the schedule adjustment request.
For example, in modern office work, there are many opportunities for schedule adjustment work for setting up a meeting with a large number of people, but work to determine the optimal time zone of the meeting requires operation. Here, the user of the system cooperation server device 20 can determine the time zone of such a meeting only by performing a simple operation of sending a message. Therefore, the system cooperation server device 20 can improve the user's work efficiency.

[Second Embodiment]
(Outline of information processing system 1A)
A second embodiment of the present invention will be described. Here, about the structure similarly to embodiment mentioned above, the same code | symbol is attached | subjected and description is used.
Similar to the information processing system 1, the information processing system 1A according to the present embodiment is a system that generates an answer in response to a request. However, the information processing system 1 generates a response to the schedule adjustment request, whereas the information processing system 1A is different in that it generates a response to the information provision request.

(Configuration of information processing system 1A)
Next, the configuration of the information processing system 1A will be described.
FIG. 8 is a block diagram illustrating a configuration of the information processing system.
The information processing system 1A includes a system cooperation server device 20A instead of the system cooperation server device 20 included in the information processing system 1. The information processing system 1 </ b> A includes a CMS (Content Management System) server device 50 instead of the scheduler server device 30 included in the information processing system 1.

  The system cooperation server device 20A analyzes the message in the same manner as the system cooperation server device 20, and specifies the request content. However, the system cooperation server device 20A provides information based on the CMS related information in response to the information provision request. Further, for example, the system cooperation server device 20A refers to the extraction condition information in which the item “corresponding system” illustrated in FIG. 5 is “CMS”, and sets the extraction condition.

  The CMS server device 50 is a server device that manages various contents (files) created in-house. The CMS server device 50 only needs to manage various contents (files) created in-house, and includes, for example, an attendance management system. The CMS server device 50 includes a CMS related information storage unit 51. The CMS related information storage unit 51 stores CMS related information representing various contents. For example, the CMS server device 50 transmits the CMS related information in response to a request from the system cooperation server device 20A.

(Specific examples of requests and responses)
Next, a specific example of a request and an answer will be described with reference to FIG.
FIG. 9 is a schematic diagram illustrating a specific example of a request and a reply according to the present embodiment.
In the example illustrated in FIG. 9, the system cooperation server device 20A is requested to extract “latest writing” information regarding “service X” from an employee of “sales department”. Here, “Service X” involves not only “Sales Department” but also “Technology Department”, so simply extracting the “latest writing” information is meaningful for employees of “Sales Department”. There is a possibility that technical information and the like that are poor will be extracted. Therefore, the system cooperation server device 20A sets extraction of information related to the “sales department” as an implicit extraction condition. Then, the system cooperation server device 20 can extract “breast team” in which many members of the “sales department” are writing from a plurality of groups regarding “service X”. That is, the system cooperation server device 20A can extract information that seems to be more important for the requester.
Then, the system cooperation server device 20A extracts the latest writing of “Brest Team” and replies to the requesting terminal device 10.
The above is a description of specific examples of requests and responses according to the present embodiment.

(Summary of the second embodiment)
As described above, in the system cooperation server device 20A according to the present embodiment, the request is a request for providing information, and the predetermined condition is a condition related to the affiliation of the request source of the request. Generates information representing an extraction result of information as an answer.
Accordingly, the system cooperation server device 20A can extract information in view of the affiliation of the request source, for example. Therefore, the system cooperation server device 20A can improve the accuracy of the response to the information provision request.

[Third embodiment]
(Outline of information processing system 1B)
A third embodiment of the present invention will be described. Here, about the structure similarly to embodiment mentioned above, the same code | symbol is attached | subjected and description is used.
Similar to the information processing system 1, the information processing system 1B according to the present embodiment is a system that generates an answer in response to a request. However, the information processing system 1 generates a response in response to a schedule adjustment request, whereas the information processing system 1B is different in that a response is generated in response to a request for confirmation of an approval status.

(Configuration of information processing system 1B)
Next, the configuration of the information processing system 1B will be described.
FIG. 10 is a block diagram illustrating a configuration of the information processing system.
The information processing system 1B includes a system cooperation server device 20B instead of the system cooperation server device 20 included in the information processing system 1. Further, the information processing system 1B includes an approval system server device 60 instead of the scheduler server device 30 included in the information processing system 1.

The system cooperation server device 20B analyzes the message in the same manner as the system cooperation server device 20, and specifies the request content. However, the system cooperation server device 20B provides information based on the approval status information in response to the approval status confirmation request.
The approval system server device 60 is a server device that manages in-house approval processing. The approval system server device 60 includes an approval status information storage unit 61. The approval status information storage unit 61 stores approval status information representing various approval statuses. For example, the approval status information storage unit 61 transmits approval status information in response to a request from the system cooperation server device 20B.

(Specific examples of requests and responses)
Next, a specific example of a request and an answer will be described with reference to FIG.
FIG. 11 is a schematic diagram illustrating a specific example of a request and a reply according to the present embodiment.
In the example illustrated in FIG. 11, the system cooperation server device 20B is requested by an employee to extract “a list of approvals that must be processed by today”. Here, the approval may require not only the approval of the requesting employee but also the approval of another employee (for example, a superior). Therefore, the system cooperation server device 20B sets, as an implicit extraction condition, extraction of approval status information that is close to the deadline and needs to be approved by another employee. As a result, the system cooperation server device 20B extracts not only the approval status information whose deadline is the final date but also the approval status information whose date is close. That is, the system cooperation server device 20B can actually extract the approval status information to be processed by the requesting employee within the day even if the day is not the final deadline. Then, based on the extracted approval status information, the system cooperation server device 20B arranges the list of approval statuses, for example, in order from the longest approval route, and replies to the request source.
The above is a description of specific examples of requests and responses according to the present embodiment.

(Summary of the third embodiment)
As described above, in the system cooperation server device 20B according to the present embodiment, the request is a request for confirming the approval status, and the predetermined condition is a condition related to the approval processor, and the generation unit Generates information indicating the result of confirmation of the approval status as an answer.
As a result, the system cooperation server device 20B can confirm the status of the approval when someone other than the request source is involved in the approval processing. Accordingly, the system cooperation server device 20B can improve the accuracy of the response to the confirmation request for the approval status.

[Modification]
The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to the above-described embodiment, and includes a design and the like within a scope not departing from the gist of the present invention. For example, the configurations described in the above first to third embodiments can be arbitrarily separated and arbitrarily combined. In addition, for example, each configuration described in the above first to third embodiments can be omitted when it is not necessary to exhibit a specific function.

  For example, in the above-described embodiment, the case where the system cooperation server devices 20, 20 </ b> A, and 20 </ b> B include the request analysis unit 231 and the answer generation unit 232 has been described, but the present invention is not limited to this. For example, the terminal device 10 may include a request analysis unit 231 and an answer generation unit 232. In this case, the request analysis unit 231 monitors a message input to the messenger application of the own device. Then, the answer generating unit 232 may acquire necessary information from the scheduler server device 30, the external server device 40, the CMS server device 50, the approval system server device 60, and the like, and generate an answer. As described above, any configuration of the above-described embodiment may be separately provided in another apparatus.

In addition, although embodiment mentioned above demonstrated the case where the time slot | zone and facility which do not satisfy | fill extraction conditions were excluded from a candidate, it is not restricted to this. System cooperation server device 20, 20A
20B may extract a candidate even in a time zone or facility that does not satisfy the extraction condition, and notify the requesting terminal device 10 or the like that the extraction condition is not satisfied.

  In addition, a computer-readable program for realizing the functions of the terminal device 10, the system cooperation server devices 20, 20 </ b> A, 20 </ b> B, the scheduler server device 30, the external server device 40, the CMS server device 50, and the decision making system server device 60 described above. The terminal device 10, the system cooperation server devices 20, 20A, and 20B, the scheduler server device 30, and the external server device 40 are recorded on a recording medium and the program recorded on the recording medium is read into the computer system and executed. The CMS server device 50 and the approval system server device 60 may perform processing. Here, “loading and executing a program recorded on a recording medium into a computer system” includes installing the program in the computer system. The “computer system” here includes an OS and hardware such as peripheral devices. Further, the “computer system” may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, and dedicated line. The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. As described above, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM. The recording medium also includes a recording medium provided inside or outside that is accessible from the distribution server in order to distribute the program. The code of the program stored in the recording medium of the distribution server may be different from the code of the program that can be executed by the terminal device. That is, the format stored in the distribution server is not limited as long as it can be downloaded from the distribution server and installed in a form that can be executed by the terminal device. Note that the program may be divided into a plurality of parts, downloaded at different timings, and combined in the terminal device, or the distribution server that distributes each of the divided programs may be different. Furthermore, the “computer-readable recording medium” holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that becomes a server or a client when the program is transmitted via a network. Including things. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

DESCRIPTION OF SYMBOLS 1, 1A, 1B ... Information processing system, 10 ... Terminal device, 20, 20A, 20B ... System cooperation server device, 21 ... Communication part, 22 ... Storage part, 221 ... Account information storage part, 222 ... Extraction condition information storage part , 23 ... control unit, 231 ... request analysis unit, 232 ... answer generation unit, 30 ... scheduler server device, 40 ... external server device, 50 ... CMS server device, 60 ... decision system server device

Claims (4)

A request analysis unit that analyzes text including a request for providing information from messages exchanged between a plurality of employees, and extracts keyword information representing the content of the request;
A generating unit that generates an answer to the request based on the keyword information extracted by the request analysis unit and a condition relating to the first affiliation of the request source of the request;
With
The generation unit identifies a first group to which a member belonging to the first group writes, out of each writing destination to which a member belonging to each group can write the message. An information processing apparatus that generates information representing an extraction result from a writing destination. The generation unit excludes information on the write destination of the second group that is written by a member belonging to a second affiliation different from the first affiliation, among the information on the write destination that matches the extraction condition and, as the answer, the information processing apparatus according to claim 1 for generating information representative of the extraction result from the write destination of the first group. A first step of analyzing a text including a request for providing information from messages exchanged between a plurality of employees, and extracting keyword information representing the content of the request;
A second step of generating an answer to the request based on the keyword information extracted in the first step and a condition relating to the first affiliation of the request source of the request;
Including
In the second step, among the write destinations to which members of each group can write the message, the first group to which the member of the first affiliation writes is specified, and as the answer, the first group write An information processing method for generating information representing an extraction result from a destination. On the computer,
A first step of analyzing a text including a request for providing information from messages exchanged between a plurality of employees and extracting keyword information representing the content of the request;
A second step of generating an answer to the request based on the keyword information extracted in the first step and a condition relating to the first affiliation of the request source of the request;
And execute
In the second step, among the write destinations to which members of each group can write the message, the first group to which the member of the first affiliation writes is specified, and as the answer, the first group write A program for generating information representing the extraction result from the destination.

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