JP2023119614A - Information processing device, program and information processing method - Google Patents

Abstract

To provide an information processing device, a program, and an information processing method that generate distribution information according to various topics.SOLUTION: In an information processing system 1, an information processing device 2 includes a data collection unit 221 that targets a plurality of information sources and collects information provided by the information sources as original data for the respective information sources, an information extraction unit 222 that extracts essential data, which is information used to generate distribution information, from the original data for each of the information sources, on the basis of an extraction rule set in advance for each of the information sources, and a distribution information generation unit 223 that generates distribution information on the basis of a distribution information template and the essential data provided in advance for each topic indicated by information provided by the information sources.SELECTED DRAWING: Figure 1

Description

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

Distributed information such as news generally uses public information such as weather information, earthquake information, information on websites, or published data such as posts on social networking services (hereinafter simply referred to as “SNS”). generated by hand.

As a conventional technique for automatically generating a news manuscript without human intervention, for example, Patent Document 1 describes an automatic manuscript generation device that automatically generates a news manuscript. The device described in Japanese Patent Application Laid-Open No. 2002-200012 is a template generated and accumulated based on actual manuscripts in the past for manuscript creation sensor information specified by a user among sensor information obtained as public observation values from all over the country. Which template is the best among them is selected by ranking by machine learning, and by assigning sensor information to a predetermined number of selected templates, a predetermined number of manuscripts are automatically generated according to the sensor information for manuscript creation, Presented on the user interface.

Japanese Patent No. 6920104

There are various topics to be distributed information such as news. If distribution information intended by the distributor can be automatically generated according to various topics, information can be provided quickly. The conventional technology described in Patent Document 1 uses machine learning to select a predetermined number of templates from templates generated and accumulated based on actual manuscripts in the past. Templates may be filtered. Therefore, the conventional technology has a problem that it may not be possible to automatically generate intended distribution information according to various topics.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an information processing apparatus, a program, and an information processing method capable of automatically generating intended distribution information according to various topics.

The information processing apparatus according to the present invention includes a data collection unit that collects information provided by the information sources as original data for each information source from a plurality of information sources; Based on the extraction rules set in advance, the information extraction unit extracts the main data, and the distribution information is extracted based on the distribution information template and main data provided in advance for each topic indicated by the information provided by the information source. and a distribution information generation unit that generates the distribution information.

According to the present invention, the distribution information is generated based on the distribution information template and the main data provided in advance for each topic indicated by the information provided by the information source. It is possible to automatically generate distribution information as intended according to the topic.

1 is a block diagram showing the configuration of an information processing system according to Embodiment 1; FIG. 2 is a block diagram showing a hardware configuration for implementing functions of the information processing apparatus according to Embodiment 1; FIG. It is a figure which shows an example of a collection rule. It is a figure which shows an example of an extraction rule. It is a figure which shows an example of a distribution information template. It is a figure which shows the example (1) of delivery information. It is a figure which shows the example (2) of delivery information. FIG. 10 is a diagram showing distribution rules; 4 is a flowchart showing an information processing method according to Embodiment 1; 2 is a block diagram showing the configuration of an information processing system according to Embodiment 2; FIG. 9 is a flowchart showing an information processing method according to Embodiment 2; FIG. 10 is a diagram showing aggregation rules;

Embodiment 1.
FIG. 1 is a block diagram showing the configuration of an information processing system 1 according to Embodiment 1. As shown in FIG. The information processing system 1 is a system in which an information processing device 2 , a user terminal 3 , a web server 4 , an SNS server 5 and a public information server 6 are connected via a network 7 . Network 7 is a telecommunications line including the Internet. The information processing system 1 provides an information distribution service and is used to collect information (hereinafter referred to as "original data") used for generating distribution information in the information distribution service.

The information processing device 2 is a server that generates distribution information provided by an information distribution service, and collects information provided by the information sources as original data for each information source, targeting a plurality of information sources. A plurality of information sources are managed by various servers (hereinafter referred to as "various servers") including the Web server 4, the SNS server 5, or the public information server 6, and each information source is, for example, a URL (Uniform Resource Locator). ). The data format of the information provided by the information source may include various formats such as HTML (HyperText Markup Language), CSV (Comma Separated Value), JSON (Javascript Object Notation), and XML (Extensible Markup Language). The original data to be collected may include images such as still images or moving images in addition to text. The information processing device 2 collects information in various data formats provided by information sources via the network 7 as original data from the information sources.

In addition, the information processing device 2 collects original data based on collection rules set in advance for each information source. A collection rule includes at least information indicating the frequency of collecting original data from the information sources to which the collection rule is applied. The information processing device 2 collects original data from the information source at a frequency indicated by a collection rule set for each information source.

The information processing device 2 selects an extraction rule corresponding to the information source from which the original data was collected from the extraction rules set in advance for each information source, and uses the selected extraction rule to generate distribution information. Information (hereinafter referred to as “important data”) is extracted from the original data. The extraction rule is information indicating a method for extracting main data from original data. The information processing device 2 extracts the main data from the original data by the method indicated by the extraction rule.

The information processing device 2 selects a distribution information template corresponding to the topic of the collected original data from distribution information templates set in advance for each topic, and based on the selected distribution information template and main data, distributes the distribution information. Generate. For example, when the distribution information consists of text, the information processing device 2 generates the distribution information by inserting the main part data consisting of the text into the pre-specified insertion position in the distribution information template consisting of the text. Further, for example, when the distribution information consists of an image, the information processing device 2 generates an image as the distribution information by superimposing an image obtained from the main part data at a predetermined position of the distribution information template consisting of the image. You may As an example of the case where the distribution information consists of an image, there is a case where the distribution information is an image showing the event occurrence location indicated by the main data on the map. In this case, the information processing device 2, for example, superimposes an icon indicating the event as an image obtained from the main part data on the event occurrence location on the map indicated by the distribution information template including the map information, as the distribution information. Generate. Further, when the distribution information consists of an image, the image may be a still image or a moving image. For example, when the distribution information consists of a moving image, the information processing device 2 superimposes an image obtained from the main part data on a predetermined position of the distribution information template consisting of the moving image, and superimposes the moving image as the distribution information. Generate. Also, the distribution information may consist of text and images.
It should be noted that the topic in this embodiment is a topic related to the content indicated by the information provided by each information source. The content indicated by the information provided by each information source may be the content indicated by part of the information. Also, the topic in this embodiment can be a topic related to the content indicated by the original data, a topic related to the content indicated by part of the original data, or a topic related to the content indicated by each distribution information. And just as there are various ways of distinguishing topics as a general concept, topics in this embodiment may be distinguished in any way, and the distribution information template It is set for each topic distinguished as follows. Here, when the main data necessary for generating distribution information belonging to the same topic can be extracted from a plurality of different information sources, even if the contents of the main data are different from each other, it is possible to generate the distribution information. The same distribution information template can be used for Therefore, when distinguishing between topics, the distinction may be made by considering that the same distribution information plate can be efficiently used for a plurality of different information sources.

The information processing device 2 transmits distribution information to a distribution destination based on a preset distribution rule. The delivery rule is information indicating the delivery destination and delivery time of the delivery information. For example, the information processing device 2 automatically transmits the distribution information via the network 7 to the user terminal 3 or a terminal (not shown) connected to the network 7 specified by the distribution destination indicated by the distribution rule. Perform push-type information distribution. Modes of push-type information distribution include, for example, posting to SNS, transmission by e-mail, pop-up notification on a terminal screen, or notification to a public institution that performs processing related to distribution information.

Further, when the information processing device 2 receives a distribution request from the user terminal 3 or a terminal (not shown) connected to the network 7, which is specified by the distribution destination indicated by the distribution rule, the information processing device 2 distributes to the terminal that requested the distribution. A pull-type information distribution, in which information is transmitted, may be performed.
Furthermore, when the distribution rule indicates that the distribution information is transmitted to the distribution destination terminal on condition that the content indicated by the distribution information belongs to a specific topic, the information processing device 2 transmits the distribution information belonging to the topic. Each time it is newly generated, the generated distribution information is transmitted to the terminal of the distribution destination.

The user terminal 3 is a terminal used by a user who uses the information distribution service provided by the information processing device 2 . The user terminal 3 is a terminal device capable of communicating with at least the information processing device 2 via the network 7, and is, for example, a smart phone, a tablet terminal, or a PC (Personal Computer).

A dedicated application for using the information distribution service (hereinafter referred to as "service dedicated application") is installed in the user terminal 3 . Alternatively, the user terminal 3 may be provided with an information distribution service in the form of SaaS (Software as a Service). When the information distribution service is provided in the form of SaaS, the service application that provides the information distribution service is executed by the information processing device 2, and the user terminal 3 can be used on the web browser without installing the service-dedicated application. Information delivery service can be provided.

The web server 4 is a server that provides web sites via the network 7 . Websites include, for example, news sites where news organizations publish news. The SNS server 5 is a server that provides SNS to the user terminal 3 via the network 7 . Examples of SNS include Twitter (registered trademark), Instagram (registered trademark), TikTok (registered trademark), YouTube (registered trademark), or Facebook (registered trademark).

The public information server 6 is a server that provides public information via the network 7 . Public information is highly public information, such as weather information, earthquake information, crime prevention or safety information such as the occurrence of suspicious persons, fire information, provided by public institutions or lifeline operators, etc. Information on evacuation orders from local governments or the opening of shelters, traffic information, information on infrastructure facilities, and the like.

An information processing device 2 that provides an information distribution service includes a communication section 21 , a calculation section 22 and a storage section 23 . The communication unit 21 communicates with the user terminal 3 or various servers via the network 7 . For example, the communication unit 21 can communicate via the network 7 with a user terminal 3 capable of mobile communication using a communication scheme such as LTE, 3G, 4G, or 5G. The calculation unit 22 controls the overall operation of the information processing device 2 . The calculation unit 22 implements various functions by executing an information processing application for generating and transmitting distribution information.

The storage unit 23 stores information used for the information processing application and the arithmetic processing of the arithmetic unit 22 . For example, the storage unit 23 stores original data collection rules and essential data extraction rules in association with a plurality of target information sources, and distributes information templates in correspondence with various topics. store and store distribution rules for sending distribution information.

The calculation unit 22 includes a data collection unit 221 , an information extraction unit 222 , a distribution information generation unit 223 and a distribution information transmission unit 224 . The functions of the data collecting unit 221, the information extracting unit 222, the distribution information generating unit 223, and the distribution information transmitting unit 224 are realized by the operation unit 22 executing the information processing application.
FIG. 2 is a block diagram showing a hardware configuration that implements the functions of the information processing device 2. As shown in FIG. For example, the information processing device 2 has a communication interface 100, an input/output interface 101, a processor 102, and a memory 103 as a hardware configuration. Each function of the data collection unit 221, the information extraction unit 222, the distribution information generation unit 223, and the distribution information transmission unit 224 provided in the information processing apparatus 2 is realized by these hardware configurations.

The communication interface 100 outputs data received from an external device via the network 7 to the processor 102 and transmits data generated by the processor 102 to the user terminal 3 via the network 7 . The processor 102 reads data from and writes data to the storage unit 23 via the input/output interface 101 . The storage unit 23 is implemented by a storage device that can be accessed by a computer functioning as the information processing device 2 .

An information processing application program for realizing each function of the data collection unit 221 , the information extraction unit 222 , the distribution information generation unit 223 and the distribution information transmission unit 224 is stored in the storage unit 23 . The processor 102 reads the information processing application program stored in the storage unit 23 via the input/output interface 101 , loads it into the memory 103 , and executes the program loaded into the memory 103 . Thereby, the processor 102 implements the functions of the data collection unit 221 , the information extraction unit 222 , the distribution information generation unit 223 and the distribution information transmission unit 224 . The memory 103 is, for example, a RAM (Random Access Memory).

The data collection unit 221 targets a plurality of information sources and collects information provided by the information sources as original data for each information source. For example, the data collection unit 221 collects original data from information sources managed by various servers (the Web server 4, the SNS server 5, and the public information server 6) via the network 7. FIG.

The data collection unit 221 collects original data based on collection rules set in advance for each information source. FIG. 3 is a diagram showing an example of collection rules. As shown in FIG. 3, the collection rule 31 includes, for example, an item "description" 31A, an item "URL" 31B, an item "data ID" 31C, an item "format" 31D, and an item "collection frequency" 31E.

The item "description" 31A sets the description of the information source from which the original data is collected. In FIG. 3, the item "Description" 31A has a text such as "AAA electric power company's web page on Tokyo", indicating that the information source is a web page on Tokyo provided by the AAA electric power company. is shown. In other words, the collection rule 31 is a collection rule for the information source "Web page of Tokyo of AAA electric power company". "AAA power company" is a fictitious power company name used for explanation of the embodiment. It is also assumed that the information provided by the Web page is information on the number of power outages in the entire Tokyo metropolitan area and information on the current number of power outages in each municipality in the metropolitan area. In addition, in the web page, there are multiple character strings "number of power outages", and only one of those character strings has a number on the right side, and that number indicates the number of power outages in the entire Tokyo metropolitan area. The number of houses is indicated, and the other character strings only represent, for example, the title of the list showing the number of blackout houses in each municipality, and no numbers are written on the right side of each.

The item "URL" 31B is set with a URL for connecting to the web page of the AAA power company in Tokyo. For example, a URL "https://teideinfo.AAA" is set in the item "URL" 31B.

A text indicating the data ID is set in the item "data ID" 31C. The data ID is identification information given to the original data by the data collection unit 221 . In FIG. 3, the data ID is "AAA.tokyo". After collecting the original data, the data collection unit 221 assigns a data ID to the original data and stores it in the storage unit 23 . The data format of the original data is set in the item "format" 31D. For example, in FIG. 3, the data format of the original data is HTML.

In the item "collection frequency" 31E, the frequency of collecting the original data from the AAA power company's web page in Tokyo is set. That is, the collection rule 31 instructs to collect original data at a predetermined frequency. The data collection unit 221 collects original data at the frequency set in the item "collection frequency" 31E. For example, in FIG. 3, the collection frequency of original data is once every three minutes. By setting the collection frequency as a collection rule, it is possible to set how often original data is collected for each information source such as a web page of public information.

Further, when the information providing form of the information source is updated, the data collection unit 221 updates the collection rule corresponding to the information source. The update of the information providing form is, for example, when the URL of the web page is changed. When the URL of the web page is changed, it may be redirected from the old URL, but the redirect may be performed only for a certain period of time. On the other hand, for example, when the URL indicated by the collection rule is redirected to the changed URL, the data collection unit 221 updates the current URL indicated by the collection rule to the redirected URL. As a result, original data can be reliably collected even if the form of information provision by the information source is updated.

The information extraction unit 222 extracts main data from the original data for each information source based on an extraction rule preset for each information source. FIG. 4 is a diagram showing an example of an extraction rule. As shown in FIG. 4, the extraction rule 41 includes an item "description" 41A, an item "data ID" 41B, an item "information ID" 41C, and an item "extraction method" 41D.

The item "description" 41A is set with a description of the main data to be extracted. In FIG. 4, the item "Description" 41A has the text "Number of power outages in the entire Tokyo metropolitan area". The extraction rule 41 is a rule for extracting numbers indicating the number of blackout houses in Tokyo as main data. The item "data ID" 41B is set with the data ID assigned to the original data from which the main part data is extracted. For example, "AAA.tokyo" is set in the item "data ID" 41B. Note that the data ID is an example of first identification information, which will be described later.

An information ID is set in the item "information ID" 41C. The information ID is identification information that the information extraction unit 222 gives to the main data. In FIG. 4, the information ID is "AAA.tokyo.count". After extracting the main data from the original data, the information extracting unit 222 assigns an information ID to the main data and stores it in the storage unit 23 . The information ID is an example of second identification information, which will be described later.

The item "extraction method" 41D is set with an extraction method for extracting main data from the original data. The information extraction unit 222 extracts the main data from the original data by the extraction method set in the item "extraction method" 41D. In FIG. 4, the item "extraction method" 41D is set with an instruction to "extract the numerical value to the right of the character string "number of blackout houses"". In order to facilitate understanding, FIG. 4 does not show the actual command to the information extraction unit 222, but shows the meaning of the command. The information extraction unit 222 performs word analysis on the original data to identify the character string “number of power outages”. Extract as This figure corresponds to the number of blackouts in the entire Tokyo metropolitan area.
In the above example, only one numerical value is extracted as essential part data, but essential part data may be extracted for a plurality of parts of the original data. In this case, an extraction method is set in the extraction rule for each main part data to be extracted. In addition, different information IDs are assigned to the plurality of extracted main part data based on the setting by the extraction rule.

The information extraction unit 222 may recognize text from an image included in the original data and include the recognized text in the main data. That is, the information extraction unit 222 extracts the text recognized from the image as main data. For example, when specifying an image included in the original data according to the extraction rule, the information extraction unit 222 performs character recognition processing or the like on the specified image, thereby extracting text included in the image. The information extraction unit 222 assigns an information ID to the extracted main part data of the text and stores it in the storage unit 23 . Note that the original data collected as described above may include images such as still images or moving images, and the information extraction unit 222 extracts images from images such as still images or moving images included in the original data. Text may be recognized.

The distribution information generation unit 223 generates distribution information based on a distribution information template and essential data provided in advance for each topic indicated by information provided by an information source.
Each distribution information template is stored in the storage unit 23 in association with each information source according to the topic indicated by the information provided by each information source. Storing the distribution information template in association with each information source is, for example, storing in the storage unit 23 the information that can identify the information source and the information that identifies the distribution information template in association with each other. This can be done by storing the correspondence relationship between the distribution information template and the information source in the storage unit 23 . Alternatively, the storage of the distribution information template and the information source in association with each other is stored in the storage unit 23 in association with information that can identify a topic and information that can identify the distribution information template corresponding to the topic. This can be done by storing the information that can identify the source and the information that can identify the topic in the storage unit 23 in association with each other, in other words, by indirectly storing the correspondence between the distribution information template and the information source.
There are various patterns of correspondence between topics or distribution information templates and information sources. For example, based on main data extracted from original data of one information source, only one distribution information belonging to one topic may be generated. In this case, one information source and one distribution information template are associated and stored in the storage unit 23 . The distribution information generating unit 223 reads from the storage unit 23 one distribution information template associated with the information source as a distribution information template corresponding to the topic indicated by the information provided by the information source from which the original data is collected, The distribution information is generated using the distribution information template and the main data extracted from the original data.

Also, for example, as described above, based on the main data extracted from the original data of one information source, only one distribution information belonging to one topic is generated, and a plurality of information There is a case where the distribution information generated based on the main data extracted from the original data of each source belongs to one common topic. In this case, one common distribution information template is associated with each of the plurality of information sources and stored in the storage unit 23 . When such multiple information sources are targeted, the distribution information generation unit 223 generates a distribution information template corresponding to the topic indicated by the information provided by each information source from which the original data is collected, which is associated with the information source. Another one distribution information template is read from the storage unit 23, and distribution information is generated using the distribution information template and the main data extracted from the original data. The read delivery information template is common to multiple information sources. For example, if the original data is collected from each web page (information source) of a plurality of electric power companies, and the topics indicated by the information provided by these web pages are all related to the number of power outages as described above, the distribution information The generation unit 223 reads a distribution information template related to the number of power outages common to the Web pages from the storage unit 23 and generates distribution information using the distribution information template. Further, for example, when operation information of the same route is provided by each web page (information source) of a plurality of information providing companies, the distribution information generating unit 223 collects information on each web page collected at a predetermined collection frequency. Distribution information is generated based on the earliest updated operation information among operation information (important data) extracted from information (original data) including operation information provided by the page. Also in this case, the distribution information generation unit 223 reads out the distribution information template related to the operation information common to each of the Web pages from the storage unit 23, and generates the distribution information using the distribution information template.

Also, for example, a plurality of pieces of distribution information belonging to a plurality of topics may be generated based on a plurality of pieces of essential data extracted from original data of one information source. In this case, one information source and a plurality of distribution information templates are associated and stored in the storage unit 23 . In addition, since the plurality of main data in this case correspond to each of the plurality of topics, each of the main data is given a different information ID according to the topic. The distribution information generation unit 223 reads out a plurality of distribution information templates from the storage unit 23 and generates a plurality of distribution information using these distribution information templates and main data corresponding to the respective distribution information templates. For example, if one web page provided by an AAA electric power company contains information on two topics, the amount of power supply and the number of power outages, the distribution information generation unit 223 generates distribution information using a distribution information template related to the amount of power supply. Furthermore, it generates distribution information using a distribution information template regarding the number of power outages. When a plurality of pieces of distribution information belonging to a plurality of topics are generated based on a plurality of pieces of main data extracted from the original data of one information source, the distribution information generation unit 223 generates a plurality of pieces of distribution information. All of the information may be generated, or only the distribution information based on the updated main part data may be generated.
Also, for example, a plurality of pieces of distribution information belonging to one topic may be generated based on main data extracted from original data of one information source. This is because, even for one topic using the same main data, it may be desirable to use different patterns of expressions distributed as distribution information according to distribution destinations, for example. In this case, one information source and a plurality of distribution information templates are associated and stored in the storage unit 23 . These multiple distribution information templates all relate to distribution information belonging to a single topic, but differ from each other in, for example, sentence expressions. The distribution information generation unit 223 reads a plurality of distribution information templates from the storage unit 23 and generates a plurality of distribution information using the plurality of distribution information templates and the same main part data.

Further, for example, there is a case where one distribution information belonging to one topic is generated by integrating main data extracted from original data of a plurality of information sources. In this case, one common distribution information template is associated with each of the plurality of information sources and stored in the storage unit 23 . In addition, the distribution information template in this case can be used together with main data extracted from a plurality of information sources to generate one piece of distribution information for the first time. For example, when the original data is collected from a first web page about the number of power outages in Tokyo by the AAA power company and a second web page about the number of power outages in Kanagawa Prefecture by the power company, the distribution information generation unit 223 reads one common distribution information template from the storage unit 23 and generates one distribution information indicating both the number of power outages in Tokyo and the number of power outages in Kanagawa Prefecture.

FIG. 5 is a diagram showing an example of a distribution information template. FIG. 6 is a diagram showing distribution information 61, which is distribution information example (1). As shown in FIG. 5, the distribution information template 51 is a short text template such as "A blackout is occurring in {{information ID: AAA.tokyo.count}} houses in Tokyo". The distribution information template 51 is provided with "{{information ID: AAA.tokyo.count}}" as an insertion point 51A for inserting essential data. The distribution information generation unit 223 generates the distribution information 61 shown in FIG. 6 by inserting the main data indicating the number of power outages into the insertion portion 51A. In the distribution information 61, when the number "100" is extracted as main data and the information ID "AAA.tokyo.count" is attached, the main data "100" is inserted into the insertion location 51A. This is an example.

FIG. 7 is a diagram showing distribution information 71, which is distribution information example (2). The distributed information 71 is information indicating the fire outbreak situation in the BBB prefecture, and includes location information 71A of the location of the fire outbreak in the BBB prefecture and a map image 71B of the BBB prefecture. "BBB prefecture" is a fictitious prefecture name used for explanation of the embodiment. The topic corresponding to the distribution information template used to generate the distribution information 71 is "fire outbreak situation in BBB prefecture". On the map indicated by the map image 71B, a point image 71C indicating the location of the fire is drawn, and an icon image 71D indicating the fire is drawn at a position separated by a predetermined pixel from the point image 71C.

When the original data whose topic is “fire occurrence situation in BBB prefecture” is collected, the distribution information generation unit 223 reads out the distribution information template corresponding to the topic from the storage unit 23 . Then, the distribution information generation unit 223 inserts the latitude CCC and the longitude DDD indicated by the position information 71A, which is the main data, into the position insertion column of the distribution information template, and the point image 71C and the icon image 71D are displayed on the map. The distribution information 71 is generated by drawing (rendering) the superimposed map image 71B. It should be noted that, in practice, a specific latitude value is written in "CCC", and a specific longitude value is written in "DDD". In addition, instead of displaying the latitude CCC and the longitude DDD indicated by the position information 71A, which is the main data, in the position insertion column of the distribution information template, the distribution information generation unit 223 displays the same latitude CCC and the longitude DDD. In addition to inserting , the distribution information 71 may be generated by inserting a specific place name specified from the same latitude CCC and longitude DDD.

Further, when map information is included in the distribution information, a plurality of distribution information templates including map information of different colors indicating a single region are stored in the storage unit 23 in association with one information source as distribution information templates. You can let it go. The distribution information generation unit 223 selects a distribution information template for generating distribution information from among the plurality of distribution information templates stored in the storage unit 23 according to the content of the main data extracted from the information source. select. For example, the storage unit 23 stores a plurality of distribution information templates including map information indicating the same area with different colors depending on the urgency of the disaster. When key data relating to the urgency of a disaster is input, the distribution information generation unit 223 reads out a distribution information template corresponding to the urgency of the disaster indicated by the key data, and creates a template with a different color depending on the urgency of the disaster. Generate distribution information including map information.

The distribution information generator 223 may generate distribution information when information provided by an information source is updated. For example, when the original data newly collected as information provided by a certain information source does not match the original data previously collected as information provided by the same information source, the distribution information generation unit 223 determines that the information source It is determined that the information to be provided has been updated, and the distribution information is updated using the main data extracted from the newly collected original data.

In addition, the distribution information generation unit 223 extracts the main data extracted from the original data newly collected as information provided by the information source from the original data previously collected as information provided by the same information source. If it does not match with the main part data extracted, it may be determined that the main part data has been updated as a result of updating the original data, and the distribution information may be updated using the newly extracted main part data.

Note that when a plurality of pieces of main data are extracted from one information source, the distribution information generation unit 223 may check whether or not all the main data have been updated, or only some of the main data. You can check for updates.
When confirming the presence or absence of an update based only on a part of essential data, for example, the information extraction unit 222 extracts update time information indicating the time when the information provided by the information source was updated as essential data. . The update time information is, for example, information indicating an update date or an update date and time. The distribution information generation unit 223 determines whether or not the information provided by the information source has been updated, based on the main part data indicating the update time information among the plurality of main part data. If the update time information has been updated since the previous generation of distribution information, the distribution information generation unit 223 determines that the information provided by the information source has been updated, and generates new data from the original data collected from the same information source. The distribution information is generated using the extracted main data. In this case, it is only necessary to confirm the presence or absence of updates based on only some of the essential data, specifically, only the update time information. The information processing apparatus 2 can reduce the processing load required for checking the presence/absence of updates, compared to the case of checking the presence/absence of updates from time to time.

In addition, the data collection unit 221 assigns the first identification information to the original data, associates the original data with the first identification information, and saves them in the storage unit 23 . The first identification information is, for example, "AAA.tokyo" shown as the data ID in FIG. The information extraction unit 222 identifies the original data associated with the first identification information from among the original data stored in the storage unit 23, and reads the original data from the storage unit 23 as an extraction target of the main part data. The information extracting unit 222 extracts main data from the specified original data, assigns second identification information to the extracted main data, associates the main data with the second identification information, and stores the main data in the storage unit 23. save. The second identification information is, for example, "AAA.tokyo.count" shown as the information ID in FIG. The distribution information generation unit 223 inserts the main data associated with the second identification information into the insertion position of the second identification information set in advance in the distribution information template. The insertion point is, for example, "{{information ID: AAA.tokyo.count}}" shown as the insertion point 51A in FIG. Accordingly, the distribution information generation unit 223 can generate distribution information using the identification information.

The distribution information transmission unit 224 transmits distribution information to distribution destinations based on preset distribution rules. FIG. 8 is a diagram showing a distribution rule 81. As shown in FIG. As shown in FIG. 8, the distribution rule 81 includes an item "topic" 81A and an item "distribution destination" 81B. The topic of the distribution information is set in the item "topic" 81A. In FIG. 8, the item "topic" 81A is set with the text "AAA blackout information". That is, the distribution rule 81 is a rule for transmitting distribution information (for example, distribution information 61 in FIG. 6) related to power outage information of the electric power company AAA.

The delivery destination of the delivery information is set in the item "delivery destination" 81B. That is, the distribution rule 81 designates the distribution destination of the distribution information. The distribution information transmission unit 224 transmits the distribution information to the distribution destination set in the item "distribution destination" 81B. In FIG. 8, the delivery destinations are system EEE, system FFF, and system GGG. For example, the distribution rule 81 is stored in the storage unit 23 in association with the topic. The distribution information transmitting unit 224 identifies the distribution rule 81 corresponding to the topic of the distribution information from among the distribution rules stored in the storage unit 23, and the system EEE, the system EEE, which is the distribution destination indicated by the identified distribution rule 81. Send distribution information to FFF and system GGG. Thereby, the information processing device 2 can transmit the distribution information to a predetermined distribution destination.

Also, the distribution information transmitting unit 224 transmits the distribution information at the distribution timing indicated by the distribution rule. For example, an item for setting the distribution time is included in the distribution rule 81 shown in FIG. A distribution information transmission unit 224 identifies a distribution rule 81 corresponding to the topic of the distribution information from the distribution rules stored in the storage unit 23, and transmits the distribution information at the distribution timing indicated by the identified distribution rule 81. . Thereby, the information processing device 2 can transmit the distribution information at the predetermined distribution timing.

9 is a flowchart showing an information processing method according to Embodiment 1. FIG.
The data collection unit 221 collects information provided by the information sources from various servers as original data for each information source (step ST1).
The information extraction unit 222 extracts main data from the original data for each information source based on an extraction rule preset for each information source (step ST2).
The distribution information generation unit 223 generates distribution information based on a distribution information template and essential data provided in advance for each topic (step ST3).
The distribution information transmission unit 224 transmits the distribution information to the distribution destination based on the preset distribution rule (step ST4).

As described above, the information processing apparatus 2 according to the first embodiment includes the data collection unit 221 that collects information provided by the information sources as original data for each information source, and the information source an information extraction unit 222 that extracts essential data from each source data based on extraction rules preset for each information source; A distribution information generation unit 223 is provided for generating distribution information based on main part data. The information processing device 2 generates distribution information based on distribution information templates and essential data provided in advance for each topic indicated by information provided by an information source, so that distribution information can be generated as intended according to various topics. can be automatically generated.
More specifically, in the information processing apparatus 2 according to Embodiment 1, since a distribution information template is provided in advance for each topic indicated by information provided by an information source, according to information provided by each information source, Each information source and a distribution information template can be associated in advance and stored. Then, according to the distribution information template associated with each information source, which information is extracted as main data from among the information provided by each information source, and how the main data is applied to the distribution information template. You can clearly set in advance whether to Therefore, the information processing apparatus 2 according to the first embodiment can automatically generate distribution information as intended by the distributor.

In the information processing device 2 according to Embodiment 1, the distribution information generation unit 223 generates distribution information when the information provided by the information source is updated. Thereby, when the information provided by the information source is updated, the information processing device 2 can reflect this update in the distribution information. In other words, the information processing apparatus 2 according to Embodiment 1 does not generate unnecessary distribution information when the information provided by the information source is not updated.

In the information processing apparatus 2 according to Embodiment 1, the information extraction unit 222 extracts update time information indicating the time when the information provided by the information source was updated, including the update time information in the main data. The distribution information generator 223 determines whether or not the information provided by the information source has been updated based on the update time information. Since the information processing apparatus 2 only needs to confirm whether the update time information included in the main data has been updated, the processing load required for confirming whether there has been an update can be reduced.

In the information processing apparatus 2 according to Embodiment 1, the data collection unit 221 collects original data based on collection rules preset for each information source. By setting a desired collection rule, the information processing device 2 can collect original data by a desired collection method.

In the information processing apparatus 2 according to the first embodiment, the collection rule instructs collection of original data at a predetermined frequency. The data collection unit 221 collects original data with frequency based on collection rules. Thereby, the information processing device 2 can collect original data at a predetermined frequency.

In the information processing apparatus 2 according to Embodiment 1, the data collection unit 221 updates the collection rule corresponding to the information source when the information provision form of the information source is updated. Thereby, the information processing apparatus 2 can collect the original data even if the information providing form by the information source is updated.

In the information processing apparatus 2 according to Embodiment 1, the information extraction unit 222 recognizes text from an image included in the original data, and includes the recognized text in the main data. Thereby, the information processing device 2 can extract the text recognized from the image as the main part data.

In the information processing apparatus 2 according to Embodiment 1, the data collection unit 221 assigns the first identification information to the original data, associates the original data with the first identification information, and saves them in the storage unit 23 . The information extraction unit 222 identifies the original data from which the main part data is extracted based on the first identification information. The information extraction unit 222 assigns the second identification information to the main data extracted from the specified original data, associates the main data with the second identification information, and stores them in the storage unit 23 . The distribution information generation unit 223 inserts the main data associated with the second identification information in the predetermined insertion position of the second identification information in the distribution information template. Accordingly, the distribution information generation unit 223 can generate distribution information using the identification information.

In the information processing apparatus 2 according to Embodiment 1, the distribution information transmission unit 224 transmits distribution information to distribution destinations based on preset distribution rules. By setting a desired distribution rule, the information processing device 2 can distribute distribution information by a desired distribution method.

In the information processing device 2 according to Embodiment 1, the distribution information transmission unit 224 transmits the distribution information at the distribution timing indicated by the distribution rule. Thereby, the information processing device 2 can transmit the distribution information at the predetermined distribution timing.

In the information processing device 2 according to Embodiment 1, the distribution information transmission unit 224 transmits the distribution information to the distribution destination indicated by the distribution rule. Thereby, the information processing device 2 can transmit the distribution information to a predetermined distribution destination.

The program according to the first embodiment causes the computer to function as the information processing device 2 by being executed by the computer. can provide.

The information processing method according to Embodiment 1 includes a step in which the data collection unit 221 collects information provided by the information sources as original data for each information source from a plurality of information sources, and an information extraction unit 222 a step of extracting main data from the original data of each information source based on an extraction rule set in advance for each information source; A step of generating distribution information based on the provided distribution information template and essential data is provided. As a result, intended distribution information can be automatically generated according to various topics.

Embodiment 2.
FIG. 10 is a block diagram showing the configuration of an information processing system 1A according to the second embodiment. The information processing system 1A is a system in which an information processing device 2A, a user terminal 3, a web server 4, an SNS server 5, and a public information server 6 are connected via a network 7. FIG. The information processing device 2A is a server that generates distribution information provided by an information distribution service, and targets a plurality of information sources, collects information provided by the information sources as original data for each information source, and converts the information into original data. extract the essential data from Further, the information processing device 2A generates aggregated information by aggregating the main data based on a preset aggregation rule, generates distribution information based on the distribution information template and the aggregated information, and distributes the generated distribution information. send ahead. In addition, in Embodiment 2, the same reference numerals or the same terms are used for configurations and the like that are common to those in Embodiment 1, and detailed descriptions thereof are omitted.

Aggregated information is secondary information obtained by aggregating main part data of the aggregation source, which is primary information, and is, for example, information indicating the overall tendency of the main part data of the aggregation source. By referring to the distribution information including the aggregated information, the user can recognize, for example, the overall trend of the aggregated main part data.

An information processing device 2A that provides an information distribution service includes a communication section 21, a calculation section 22A and a storage section 23A. The communication unit 21 communicates with the user terminal 3 or various servers via the network 7 . For example, the communication unit 21 can communicate via the network 7 with a user terminal 3 capable of mobile communication using a communication scheme such as LTE, 3G, 4G, or 5G. 22 A of arithmetic parts control the whole operation|movement of 2 A of information processing apparatuses. The calculation unit 22A realizes various functions by executing an information processing application for generating and transmitting distribution information.

The storage unit 23A stores information processing applications and information used for arithmetic processing of the arithmetic unit 22A. For example, the storage unit 23A stores original data collection rules, essential data extraction rules, and aggregation rules in association with each of a plurality of target information sources, and distributes information templates to various topics. A distribution rule for distributing distribution information is stored in association with each other.

The calculation unit 22A includes a data collection unit 221, an information extraction unit 222, a distribution information generation unit 223A, a distribution information transmission unit 224, and an aggregation processing unit 225. The functions of the data collection unit 221, the data collection unit 221, the information extraction unit 222, the distribution information generation unit 223A, the distribution information transmission unit 224, and the aggregation processing unit 225 are realized by the execution of the information processing application by the calculation unit 22A. be done. For example, the information processing device 2A has the communication interface 100, the input/output interface 101, the processor 102 and the memory 103 shown in FIG. 2 as a hardware configuration. The functions of the data collection unit 221, the information extraction unit 222, the distribution information generation unit 223A, the distribution information transmission unit 224, and the aggregation processing unit 225 included in the information processing device 2A are realized by these hardware configurations.

FIG. 11 is a flow chart showing an information processing method according to the second embodiment.
The data collection unit 221 collects information provided by the information sources from various servers as original data for each information source (step ST1A).
The information extraction unit 222 extracts main data from the original data for each information source based on an extraction rule preset for each information source (step ST2A).
The aggregation processing unit 225 generates aggregation information by aggregating the main data based on a preset aggregation rule (step ST3A).
The distribution information generation unit 223 generates distribution information based on a distribution information template provided in advance for each topic and consolidated information (step ST4A).
The distribution information transmission unit 224 transmits the distribution information to the distribution destination based on the preset distribution rule (step ST5A).

FIG. 12 is a diagram showing the aggregation rule 91. As shown in FIG. As shown in FIG. 12, the aggregation rule 91 includes, for example, an item "description" 91A, an item "aggregation source information ID" 91B, an item "aggregation method" 91C, and an item "information ID" 91D.

A description of the aggregation rule 91 is set in the item "description" 91A. For example, regarding the information source of the "AAA power company" web page described in Embodiment 1, the website provided by the AAA power company includes information on the number of power outages in Tokyo, as well as information on the number of power outages in Tokyo under the jurisdiction of the AAA power company. Information on the number of power outages for each municipality other than that (e.g. Saitama, Chiba) is also available in the same format as the information on the number of power outages in Tokyo using the web page provided for each municipality on the same website. shall be provided. Each of these multiple web pages is also a different source of information. In FIG. 12, the item "Description" 91A has the text "All power outages in the jurisdiction of the AAA power company". That is, the aggregation rule 91 is a rule for aggregating a plurality of main data in order to indicate the number of power outages in all AAA electric power companies. In the item "Information ID of Aggregation Source" 91B, different information IDs assigned to all main data to be aggregated are set. For example, the item "information ID of aggregation source" 91B includes "AAA.tokyo.count" indicating the number of power failures in Tokyo, "AAA.saitama.count" indicating the number of power failures in Saitama Prefecture, and "AAA.saitama.count" indicating the number of power failures in Chiba Prefecture. Information IDs of a plurality of main data including "AAA.chiba.count" and the like are set.

The item "aggregation method" 91C is set with an aggregation method for aggregating a plurality of main part data whose information ID is set in the item "information ID of aggregation source" 91B. Aggregation processing unit 225 aggregates the main data by the aggregation method set in the item “aggregation method” 91C. In FIG. 12, the item "aggregation method" 91C is set to "total the numerical values of the aggregation source". The aggregation processing unit 225 generates aggregated information by totaling the number of power outages indicated by each of the plurality of main part data according to the aggregation method set in the item “aggregation method” 91C.

The item "information ID" 91D is set with an information ID assigned to the consolidated information. The information ID is identification information given to the aggregated information by the aggregation processing unit 225 . In FIG. 12, the information ID of the consolidated information is "AAA.all.count". After generating the aggregated information, the aggregation processing unit 225 assigns an information ID to the generated aggregated information and stores it in the storage unit 23A. 223 A of distribution information production|generation parts produce|generate distribution information based on a distribution information template and aggregate information. The distribution information template in this case is, for example, a short text template such as "A power outage is occurring at {{information ID: AAA.all.count}} houses within the jurisdiction of the AAA power company". This distribution information template is provided with "{{information ID: AAA.all.count}}" as an insertion point for inserting aggregated information. 223 A of distribution information production|generation parts generate|occur|produce distribution information by inserting the aggregated information which shows the number of blackout houses in an insertion part. For example, when the consolidated information indicates the number "800", the distribution information is "800 power outages are occurring within the jurisdiction of the AAA power company".
Further, the distribution information generation unit 223A may generate distribution information by inserting both the main part data and the consolidated information into the distribution information template. The distribution information template in this case is, for example, ``A power outage is occurring in {{information ID: AAA.all.count}} throughout the jurisdiction of the AAA electric power company. count}}, Saitama prefecture {{information ID: AAA.saitama.count}}, Chiba prefecture {information ID: AAA.chiba.count}}, ..." is a template of the text. 223 A of distribution information production|generation parts generate|occur|produce distribution information by inserting the summary information and main part data which show the number of blackout households in each applicable insertion part. For example, if the aggregated information indicates the number "800" and the main data indicating the number of blackouts in Tokyo, Saitama Prefecture and Chiba Prefecture indicate the numbers "100", "150" and "50" respectively, The information is "A power outage is occurring in 800 houses within the jurisdiction of the AAA power company. The breakdown is 100 houses in Tokyo, 150 houses in Saitama Prefecture, 50 in Chiba Prefecture, and so on." When distribution information generation unit 223A generates distribution information by inserting both main data and aggregate information into a distribution information template, the inserted main data is the same as the main data used to generate aggregate information. It may be main part data different from the part data.

Aggregation rules are set in advance for each information source. For example, one aggregation rule is stored in the storage unit 23A in association with each of a plurality of information sources from which essential data necessary for generating aggregated information should be extracted. The aggregation processing unit 225 identifies an aggregation rule corresponding to the information source from which the original data was collected from the aggregation rules stored in the storage unit 23A, and generates aggregation information based on the identified aggregation rule. The distribution information generation unit 223A, for example, reads out a distribution information template from the storage unit 23A based on the topic of the original data from which the main data of the aggregation source is extracted, and generates distribution information based on the distribution information template and the aggregation information. . Accordingly, the aggregation processing unit 225 can generate aggregated information according to the information source.
Note that, as in the above example, the aggregation rule may indicate that aggregated information is generated based on the main data extracted from the original data of multiple information sources, or the original data of one information source. It may indicate that aggregated information is generated based on a plurality of essential data extracted from. In the latter case, for example, one aggregation rule is associated with only one information source and stored in the storage unit 23A.

The aggregation processing unit 225 generates aggregated information by statistically processing the main data based on the aggregation rule. In the aggregation rule 91 shown in FIG. 12, the numerical values indicated by the main data are totaled, but the present invention is not limited to this. There are average calculation, weighted average calculation, median calculation, filtering, and the like. Accordingly, the information processing device 2A can generate distribution information that enables recognition of the statistical tendency of the entire main part data of the aggregation source.

In addition, the data collection unit 221 assigns the first identification information (the data ID shown in FIG. 3) to the original data, associates the original data with the first identification information, and stores them in the storage unit 23A. The information extraction unit 222 identifies the original data associated with the first identification information from the original data stored in the storage unit 23A, and reads the original data from the storage unit 23A as the extraction target of the main data. The information extraction unit 222 assigns the second identification information to the main data extracted from the specified original data, associates the main data with the second identification information, and saves them in the storage unit 23A. The second identification information is, for example, "AAA.all.count" shown as the information ID in FIG. 223 A of distribution information production|generation parts insert the 2nd identification information and the string string main part data in the insertion location of the 2nd identification information preset in the distribution information template. Thereby, the distribution information generation unit 223A can generate the distribution information using the identification information.

As described above, the information processing apparatus 2A according to the second embodiment includes the aggregation processing unit 225 that generates aggregated information by aggregating main part data based on preset aggregation rules. 224 A of distribution information production|generation parts produce|generate distribution information based on a distribution information template and aggregate information. Thereby, the information processing device 2A can generate, for example, distribution information that allows recognition of the tendency of the entire main part data of the aggregation source.

In the information processing apparatus 2A according to Embodiment 2, the aggregation processing unit 225 generates aggregated information based on an aggregation rule preset for each information source. Thereby, the information processing device 2A can generate consolidated information according to the information source.

In the information processing apparatus 2A according to Embodiment 2, the aggregation processing unit 225 generates aggregated information by statistically processing the main data based on the aggregation rule. Accordingly, the information processing device 2A can generate distribution information that enables recognition of the statistical tendency of the entire main part data of the aggregation source.

It should be noted that it is possible to combine the embodiments, modify arbitrary constituent elements of each embodiment, or omit arbitrary constituent elements from each embodiment.

1, 1A information processing system, 2, 2A information processing device, 3 user terminal, 4 Web server, 5 SNS server, 6 public information server, 7 network, 21 communication unit, 22, 22A calculation unit, 23, 23A storage unit, 31 collection rule 41 extraction rule 51 distribution information template 51A insertion point 61 distribution information 71 distribution information 71A location information 71B map image 71C point image 71D icon image 81 distribution rule 91 aggregation rule 100 Communication interface 101 input/output interface 102 processor 103 memory 221 data collection unit 222 information extraction unit 223, 223A distribution information generation unit 224, 224A distribution information transmission unit 225 aggregation processing unit.

The information processing apparatus according to the present invention includes a data collection unit that collects information provided by the information sources as original data for each information source from a plurality of information sources; an information extraction unit that extracts main data based on preset extraction rules; an aggregation processing unit that generates aggregated information by aggregating main data based on preset aggregation rules; and a distribution information generation unit that generates distribution information based on the distribution information template corresponding to the topic and the aggregated information .

According to the present invention, the distribution information is generated based on the distribution information template corresponding to the topic indicated by the original data and the aggregated information. Information can be automatically generated.

Claims (16)

A data collection unit that collects information provided by the information sources as original data for each of the information sources, targeting a plurality of information sources;
an information extraction unit for extracting main data from the original data for each information source based on an extraction rule preset for each information source;
an information processing apparatus comprising: a distribution information generating unit that generates distribution information based on a distribution information template provided in advance for each topic indicated by information provided by the information source and the main part data. . The information processing apparatus according to claim 1, wherein the distribution information generation unit generates the distribution information when the information provided by the information source is updated. The information extracting unit includes update time information indicating when the information provided by the information source was updated and extracts the main part data,
3. The information processing apparatus according to claim 2, wherein the distribution information generation unit determines whether or not the information provided by the information source has been updated based on the update time information. The information processing apparatus according to any one of claims 1 to 3, wherein the data collection unit collects the original data based on a collection rule preset for each information source. The collection rule instructs to collect the original data at a predetermined frequency,
The information processing apparatus according to claim 4, wherein the data collection unit collects the original data at the frequency based on the collection rule. 6. The information processing apparatus according to claim 4, wherein the data collection unit updates the collection rule corresponding to the information source when the information provision form of the information source is updated. . 7. The information according to any one of claims 1 to 6, wherein the information extraction unit recognizes text from an image included in the original data, and includes the recognized text in the main part data. processing equipment. The data collection unit assigns first identification information to the original data, associates the original data with the first identification information, and stores the data in a storage device;
The information extraction unit specifies the original data from which the main part data is to be extracted based on the first identification information, extracts the main part data from the specified original data, and extracts the main part data. assigning second identification information to the data, linking the main data with the second identification information, and storing the data in the storage device;
The distribution information generation unit inserts the main data associated with the second identification information into a predetermined insertion location of the second identification information in the distribution information template. The information processing apparatus according to any one of claims 1 to 7. An aggregation processing unit that generates aggregation information by aggregating the main part data based on a preset aggregation rule,
The information processing apparatus according to any one of claims 1 to 8, wherein the distribution information generation unit generates the distribution information based on the distribution information template and the consolidated information. The information processing apparatus according to claim 9, wherein the aggregation processing unit generates the aggregation information based on the aggregation rule preset for each information source. 11. The information processing apparatus according to claim 9, wherein the aggregation processing unit generates the aggregation information by statistically processing the main part data based on the aggregation rule. 12. The information processing apparatus according to any one of claims 1 to 11, further comprising a distribution information transmitting unit that transmits the distribution information to a distribution destination based on a distribution rule set in advance. 13. The information processing apparatus according to claim 12, wherein said distribution information transmitting unit transmits said distribution information at a distribution timing indicated by said distribution rule. 14. The information processing apparatus according to claim 12, wherein said distribution information transmitting unit transmits said distribution information to a distribution destination indicated by said distribution rule. A program for causing a computer to function as the information processing apparatus according to any one of claims 1 to 14. An information processing method executed by an information processing device,
A step in which the data collection unit collects information provided by the information sources as original data for each of the information sources, targeting a plurality of information sources;
an information extraction unit extracting main data from the original data for each information source based on an extraction rule preset for each information source;
and a step of a distribution information generation unit generating distribution information based on a distribution information template provided in advance for each topic indicated by information provided by the information source and the main data. Information processing methods.

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