JP2007034498A - Information management device and information providing device to be used by the device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem that as the number of knowledge data is increased, the number of knowledge data which are rarely used is increased. <P>SOLUTION: An information management device 100 stores knowledge data by associating the knowledge data with events. The information management device 100 acquires a Web page from a site 14 connected through a network 12, and generates an event based on the content. Then, the information management device 100 retrieves the knowledge data associated with the generated event, and displays the knowledge data on a display picture 20. Thus, it is possible to provide knowledge data corresponding to the event by making it unnecessary for a user to perform any retrieval operation. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an apparatus for managing information.

As networking progresses, various information such as business materials and reports has been digitized and shared as knowledge. Such knowledge is accumulated in a server on the network, and the user browses the knowledge accumulated in the server using an information terminal such as a personal computer and registers new knowledge in the server (Patent Document 1).
JP 2002-215508 A

The user searches for necessary knowledge using categories and keywords. For this reason, it is necessary to specify a category or keyword as a search key for searching for knowledge, and it is difficult to search for knowledge that the user does not know at all. This tendency becomes more pronounced as the number of accumulated knowledge increases, and the more knowledge that is used, the more knowledge that is not used.
The present invention has been made in view of the above problems, and an object of the present invention is to provide a technique for effectively preventing knowledge from being buried and effectively managing knowledge.

  One embodiment of the present invention is an apparatus for managing knowledge data. The apparatus includes a knowledge storage unit that holds knowledge data, an event generation unit that generates an event based on target information acquired from a server connected to a network, and knowledge from the knowledge storage unit using the event as a search key. A search unit for searching for data. For example, the “event” may be information indicating that the date, temperature, weather, stock price, or the like has been designated in advance, or information indicating that a predetermined keyword is included in the news. Good. The event may be information indicating that target information that can be acquired via the network is in a pre-registered state. With this device, it is not necessary for the user to specify a key to be used for searching, and related knowledge can be automatically searched according to changes in the natural environment or social environment. In addition, by using an objective state such as a natural environment or a social environment as a search key, knowledge is not buried, and knowledge that can be used by the user in the environment around the user can be provided.

  The event generation unit includes an acquisition unit that reads a web page from the server, an extraction unit that extracts a portion satisfying a predetermined condition from the read web page as target information, and the extracted target information satisfies an event generation condition And a determination unit that outputs an event. A “web page” is a document published on the Internet, and various data that can be acquired with a predetermined Uniform Resource Identifier (URI) such as text data, images, audio, video, layout information, etc., alone or in combination Composed. The extraction unit may extract target information using, for example, a regular expression or XPath, or may extract target information by image analysis or voice recognition. The “predetermined condition” may be defined differently depending on the technique used by the extraction unit to extract target information. For example, when extracting target information from text data, it may be a regular expression indicating a pattern of target information. . Further, when extracting target information from XML (eXtensible Markup Language), it may be the XPath of the target information. Thereby, an event can be generated based on information obtained from the Internet, which is updated daily and various information is made public.

  The event generation unit may further include a target information storage unit that accumulates the target information. And the said determination part may perform determination based on the target information newly extracted by the said extraction part, and the past target information accumulate | stored in the said target information storage part. Thereby, for example, when the target information is air temperature, an event can be generated when the average value of the air temperature reaches a specified temperature.

  This device is an event in which an event code for identifying an event, information for acquiring a web page used for generating the event, target information extraction conditions, and event generation conditions are associated with each other. You may further provide the definition data storage part which hold | maintains definition data. The event generation unit may perform a series of processes for generating an event with reference to the definition data storage unit. Thereby, a plurality of events can be generated.

  The apparatus may further include a storage processing unit that receives knowledge data and associates the event code with the knowledge code and registers it in the knowledge storage unit. As a result, it is possible to register what kind of event should be used when knowledge data is registered.

  The event definition data may further include information regarding event attributes. The knowledge management device further includes a setting unit configured to set a priority based on the attribute for each piece of knowledge data included in the search result when a plurality of knowledge data corresponding to different events are included in the search result. You may prepare.

  The event definition data may further include information for designating timing for performing event generation processing. The knowledge management apparatus may further include a planning unit that instructs the event generation unit to start event generation processing based on the timing.

  The event definition data may further include information specifying an event acquisition destination. The knowledge management device may further include a collection unit that acquires an event from a specified device outside the device when the acquisition destination is outside the device.

  Another aspect of the present invention is an apparatus for providing information about an event. The apparatus includes an event generation unit that generates an event based on target information acquired from a server connected to a network, an event storage unit that stores the generated event together with an occurrence date and time, and an event stored in the event storage unit And a providing unit that outputs to a client connected via a network. Thereby, this apparatus functions as a sensor for detecting an event occurring on the earth, and can provide a detection result in the form of occurrence of an event.

  The definition data storage unit may hold event definition data for each client, and the providing unit may provide an event associated with a connected client. The providing unit may provide an event stored in the event storage unit after the last access date and time of the client. In addition, when a plurality of the same events are accumulated after the last access date and time of the client, the providing unit may provide only the newest event among the plurality of the same events to the client. In this way, the event can be efficiently provided to the client.

  It should be noted that any combination of the above-described constituent elements and a conversion of the expression of the present invention between a method, an apparatus, a system, a recording medium, a computer program, etc. are also effective as an aspect of the present invention.

  According to the present invention, accumulated knowledge can be managed effectively.

<First Embodiment>
In general, there is a timing to use knowledge. For example, it is more effective to see knowledge about heat stroke when the temperature is 28 ° C. or higher than on a cool day. In addition, if necessary knowledge is prepared in advance for matters that may occur in the future, and the knowledge is presented when it occurs in the future, the user is relieved from the pressure that must not be forgotten. The apparatus according to the present embodiment detects a predetermined situation serving as a trigger when presenting knowledge based on a web page on the Internet. On the Internet, all information on the earth exists as digital data that can be processed by computers. By using the digital data on the Internet, various things occurring on the earth can be detected.

  FIG. 1 is a diagram for explaining an information management apparatus 100 according to an embodiment. The information management apparatus 100 generates a predetermined event based on a web page published on a site on the Internet, and provides the user with knowledge to be browsed when the event occurs. The occurrence of an event triggers a process for providing knowledge, and the generated event serves as a search key. Therefore, the user can automatically provide the necessary knowledge without performing the search process consciously. Thereby, it can prevent that knowledge is not utilized and buried.

  The information management apparatus 100 is connected to the weather information site 14a, the traffic information site 14b, and the news site 14c via the network 12. The information management apparatus 100 manages knowledge to be managed (hereinafter referred to as “knowledge data”) in association with an event. The knowledge data may be any data that can be managed by the information management apparatus 100 such as text, image, moving image, and sound. “Events” can be found on webpages such as “when the temperature is 28 ° C. or higher”, “when the train is delayed”, or “when an article containing the keyword XXX” is published. This is information indicating a specific state that can be determined based on the information.

  When an event related to the weather situation occurs, the information management apparatus 100 acquires a web page from the weather information site 14a. When an event related to the traffic situation occurs, the information management apparatus 100 acquires a web page from the traffic information site 14b. When an event related to news occurs, the information management apparatus 100 acquires a web page from the news site 14c. As described above, the information management apparatus 100 selects a site from which a web page is acquired according to an event.

  The information management apparatus 100 determines whether or not to generate an event by acquiring a web page from a site corresponding to the generated event and analyzing the content. When an event occurs, the information management apparatus 100 searches for knowledge data related to the event that has occurred. Then, the search result is displayed on the display screen 20. In this figure, knowledge data a “route to the company” is displayed corresponding to the event EV2 “when the train is late”. Further, in response to the event EV1 “when the temperature is 28 ° C. or higher”, a knowledge b “Let's take care of heat stroke” and a knowledge c “deodorizing measures” are displayed.

  In this figure, the knowledge data a related to the event EV2 is displayed higher than the knowledge data b and knowledge data c related to the event EV1. The information management apparatus 100 sets a priority for the knowledge data and displays the knowledge data having a high priority so that the user can easily recognize the knowledge data.

  FIG. 2A is a diagram showing a state in which a web page acquired from the weather information site 14a of FIG. 1 is displayed by a browser. In this figure, the temperature of each place is displayed. FIG. 2B is an example of a web page for displaying the screen of FIG. This web page is described in HTML (HyperText Markup Language). Generally, a web page is described in HTML, and contents such as characters and images are laid out. This layout does not change often. For this reason, when using the character string contained in the web page as the target information used when generating the event, the target information can be extracted by using the regular expression.

  For example, the temperature in Tokyo is described in the part “Tokyo 27 ° C. <br>”, and the part “27” changes as the temperature changes. That is, the temperature in Tokyo is a portion surrounded by a character string “Tokyo” and a character string “° C. <br>”. The regular expression for taking out the enclosed part is “Tokyo (¥ d +) ° C. <br>”. Using this regular expression, the temperature in Tokyo can be extracted as target information. The web page may be not only HTML but also an XML format file. In this case, target information can be extracted using XPath. Further, target information may be extracted from a voice file using a voice recognition technique, or target information may be extracted from a still image or a moving picture using a picture recognition technique. The information used for extracting the target information is hereinafter referred to as “extraction conditions”. The extraction condition may be described in various forms according to the format of the web page to be extracted and the coding of the program.

  Applicability of event occurrence can be determined by applying the target information extracted from the web page to the event occurrence conditions. For example, when the event “Tokyo temperature is 28 ° C. or higher” occurs, the numerical value extracted as the target information is compared with the threshold value “28”. When the target information is 28 or more, event generation is permitted, and when the target information is less than 28, event generation is prohibited. When this is realized by a program, a module for inputting target information and a threshold value and comparing the magnitude is prepared. Then, target information and a threshold value are given to the module, and an event may be generated according to the comparison result. In this case, the threshold value “28” is the generation condition. When a plurality of modules are prepared so that various events can be generated, information for specifying a module used for determination and a parameter used in the module are generation conditions. Hereinafter, information for identifying a module is referred to as a “module name”, and a parameter used in the module is referred to as a “determination parameter”.

  FIG. 3 is an internal configuration diagram of the information management apparatus 100 of FIG. The weather event generation unit 120a acquires a web page from the weather information site 14a via the network 12 of FIG. 1, and generates an event related to weather such as temperature and weather. The traffic event generation unit 120b acquires a web page from the traffic information site 14b of FIG. 1 and generates an event related to the traffic situation. The news event generation unit 120c acquires a web page from the news site 14c of FIG. 1 and generates an event related to news. The internal configuration of the weather event generator 120a, the traffic event generator 120b, and the news event generator 120c is the same. In the following description, these will be collectively referred to as the event generation unit 120, and the description will be made taking the event generation processing in the weather event generation unit 120a as an example.

  The event generation unit 120 includes an acquisition unit 122 that reads a web page via the network 12, an extraction unit 124 that extracts target information included in the web page, and a determination unit 126 that determines whether or not an event has occurred based on the target information. And have. The definition data storage unit 102 associates an acquisition destination URI of a web page, an extraction condition for extracting target information, and an event generation condition, and holds them as event definition data. The detailed data structure of the definition data storage unit 102 will be described later.

  When performing event generation processing, the event generation unit 120 reads event definition data from the definition data storage unit 102. The acquisition unit 122 reads a URI from the event definition data, and reads a web page that can be specified by the URI. The acquisition unit 122 outputs the read web page to the extraction unit 124. The extraction unit 124 reads an extraction condition from the event definition data, and extracts a portion that matches the extraction condition as target information. Then, the extraction unit 124 outputs the target information to the determination unit 126 and registers it in the target information storage unit 118.

  The determination unit 126 reads the generation condition from the event definition data and determines whether the target information satisfies the generation condition. For example, the occurrence condition of an event that occurs when “the temperature reaches 28 ° C. or higher” is “target information ≧ 28”. Further, when it is necessary to make a determination based on a plurality of pieces of target information, such as “when the average temperature becomes 28 ° C. or higher”, the determination unit 126 stores target information supplied from the extraction unit 124 and target information. The determination processing is performed based on the past target information accumulated in the unit 118. When the determination condition is satisfied, the determination unit 126 permits the generation of the event, and outputs an event code for specifying the generated event to the search unit 112. With this configuration, the event generating unit 120 can generate an event according to the content of the web page acquired from a predetermined site.

  The retrieval unit 112 retrieves knowledge data from the knowledge storage unit 108 using the event code received from the event generation unit 120 as a trigger and the supplied event code as a retrieval key. Then, the search unit 112 outputs the search result to the setting unit 114. The setting unit 114 sets a priority for determining a display method for the knowledge data included in the search result. Then, the setting unit 114 outputs the knowledge data set with the priority to the display processing unit 116. The display processing unit 116 presents knowledge data by a display method according to the priority.

  For example, when an event code is provided to the search unit 112 at the same time from the weather event generation unit 120a, the traffic event generation unit 120b, and the news event generation unit 120c, that is, when a plurality of events occur, a plurality of search results are included. Contains knowledge data corresponding to the event. There are some types of knowledge data that require immediacy, and some that do not require immediacy. The immediacy of this knowledge data can be estimated by the type of event associated with it. For example, knowledge data associated with an event indicating that “train delay has occurred” is considered to be highly immediate, and is associated with an event indicating that “average temperature exceeds 28 ° C.” Knowledge data is considered to be relatively immediacy. The event definition data holds information about the nature of such an event as an attribute. The setting unit 114 sets the priority with reference to this attribute. The setting unit 114 may set a priority for each piece of knowledge data when a plurality of pieces of knowledge data with different corresponding events are included in the search result.

  The storage processing unit 110 receives knowledge data and instructs the definition data generation unit 130 to generate event definition data. The definition data generation unit 130 generates event definition data with reference to a template held in the template storage unit 132 according to a user instruction. Then, the definition data generation unit 130 registers the generated event definition data in the definition data storage unit 102 in association with the event code. In addition, the definition data generation unit 130 outputs the event code to the storage processing unit 110. The storage processing unit 110 registers knowledge data in the knowledge storage unit 108 in association with the event code. Thereby, the search unit 112 can search the knowledge data using the event code supplied from the event generation unit 120 as a search key.

  The template storage unit 132 stores at least a URI, an extraction condition, and a template of the generation condition for each event that can be generated in the event generation unit 120, and information for identifying the event generation unit 120 used for determination as necessary, module name , Retain information such as attributes. When generating event definition data, the definition data generation unit 130 first presents a list of events that can be generated with reference to the template storage unit 132. Then, the definition data generation unit 130 reads from the template storage unit 132 a model of an event instructed by the user from the list. When it is necessary to receive various parameters from the user in order to generate event definition data, the definition data generation unit 130 provides an appropriate interface to receive necessary parameters from the user and completes the event definition data. For example, the definition data generation unit 130 may accept an attribute used by the setting unit 114 for setting the priority from the user and register it in the event definition data.

  The definition data generation unit 130 generates new event definition data when the same event is not registered in the definition data storage unit 102. If the same event is already registered, the definition data generation unit 130 generates an event corresponding to the event from the definition data storage unit 102. The code may be read and output to the storage processing unit 110.

  The planning unit 104 instructs the event generation unit 120 to start the event generation process. The planning unit 104 reads the event code from the definition data storage unit 102 and outputs it to the event generation unit 120. The event generation unit 120 reads event definition data corresponding to the event code from the definition data storage unit 102 and performs event generation processing. In the present embodiment, a weather event generation unit 120a, a traffic event generation unit 120b, and a news event generation unit 120c are provided as the event generation unit 120. The planning unit 104 allocates an event code to the corresponding event generation unit 120 according to the type of event. By doing so, the event generation unit 120 can be modularized for each type of event that occurs, and for example, a necessary module can be provided for each user as a plug-in.

  When the event generation process is completed, the determination unit 126 outputs information indicating the result to the planning unit 104. Hereinafter, this information is referred to as “permission / rejection information”. The planning unit 104 reads the event code from the definition data storage unit 102 when the permission information is accepted, and outputs the event code to the event generation unit 120. Thereby, the event generation part 120 can perform an event generation process sequentially. The timing for performing the event generation process may be set in advance for each event definition data, and the planning unit 104 may instruct the event generation unit 120 to start the event generation process at that timing.

  FIG. 4 is a diagram illustrating an example of the data structure of the definition data storage unit 102. Individual event codes are assigned to event definition data and managed as records. The event code column 150 holds an event code assigned for each event definition data. The URI column 152 holds a URI. The acquisition unit 122 in FIG. 3 acquires the web page specified by this URI. The extraction condition column 154 holds extraction conditions. The extraction unit 124 of FIG. 3 extracts target information from the web page using this extraction condition.

  The generation condition column 156 holds generation conditions. In this figure, the expression is “28 or more” for the sake of explanation, but the data structure may be appropriately set according to the specification of the program. The event type column 158 holds information for identifying the event generation unit 120 used for event generation processing. The module name 160 holds the module name of the program that performs the determination according to the generation condition. The determination unit 126 in FIG. 3 performs a determination process by specifying a module to be used for the determination by the event type and the module name, and giving the determination parameter and target information held in the occurrence condition column 156 to the module.

  The attribute column 162 holds event attributes. The setting unit 114 in FIG. 3 sets the priority for each piece of knowledge data according to this attribute. The timing column 164 holds the timing for starting the event generation process. The planning unit 104 in FIG. 3 instructs the event generation unit 120 to perform event generation processing according to this timing.

  FIG. 5 is a diagram illustrating an example of a data structure of the target information storage unit 118 of FIG. The ID column 170 holds management identification information. This ID is associated with the accumulated target information every time the target information is accumulated. The event code column 172 holds an event code when the target information is extracted. The target information column 174 holds target information. The occurrence date / time column 176 holds the date / time when the target information was generated. For example, when past target information is necessary, such as when calculating the average temperature, the determination unit 126 in FIG. 3 can read target information of the corresponding event code.

  FIG. 6 is a flowchart of the event generation process in the event generation unit 120 of FIG. When the event generation unit 120 starts the event generation process, first, the acquisition unit 122 of FIG. 3 acquires a web page (S10). The extraction unit 124 of FIG. 3 extracts target information from the web page acquired by the acquisition unit 122 (S12). The determination unit 126 of FIG. 3 determines whether or not the event occurrence condition is satisfied based on the target information (S14). When the event occurrence condition is satisfied (Y in S14), the determination unit 126 generates an event (S16). When the event generation condition is not satisfied (N in S14), the determination unit 126 does not generate an event. The planning unit 104 in FIG. 3 determines whether or not event definition data to be subjected to event generation processing remains (S18). If event definition data remains (Y in S18), the process returns to step 10. If no event definition data remains (N in S18), the process ends.

<Second Embodiment>
FIG. 7 is a diagram for explaining the information management system 10 according to the second embodiment. The information management apparatus 100 according to the second embodiment acquires an event from the event providing apparatus 200 that can be connected via the network 12 and searches for knowledge data related to the event. In each of the drawings to be described, functional blocks having the same reference numerals as the functional blocks already described have the same or substantially the same functions as the functional blocks already described. Hereinafter, functions added in the present embodiment will be described in detail.

  FIG. 8 is an internal configuration diagram of the information management apparatus 100 of FIG. The collection unit 106 acquires an event code from the event providing apparatus 200 of FIG. In this figure, the information management apparatus 100 includes an event generation unit 120 inside, but in another example, the event generation unit 120 may not be included. By providing the event generation unit 120 and the collection unit 106, for example, it is possible to perform operations such as distribution of complicated event generation processing to the event providing apparatus 200 and distribution of relatively simple ones to the internal event generation unit 120. Further, an operation may be considered in which an event that occurs based on a web page with a high frequency of layout change is distributed to the event providing apparatus 200, and an event that occurs based on a web page with a low change frequency is distributed to the internal event generation unit 120. . In this way, by changing the event acquisition source in accordance with the type of event, it is possible to give the operation mode flexibility. There is also an advantage that the structure of the information management apparatus 100 can be simplified.

  In order to perform this distribution, the event definition data held in the definition data storage unit 102 further holds information for specifying an event acquisition destination (hereinafter referred to as “acquisition destination information”). Accordingly, the planning unit 104 can instruct the event generation unit 120 or the collection unit 106 to perform processing with reference to the acquisition destination information. The acquisition destination information may be set by the definition data generation unit 130.

  FIG. 9 is an internal configuration diagram of the event providing apparatus 200 of FIG. The accepting unit 210 accepts a registration request for event definition data from the information management apparatus 100 of FIG. The definition data generation unit 130 in FIG. 9 generates event definition data with reference to the template storage unit 132 in FIG. 9 in response to the request. The definition data generation unit 130 appropriately provides an interface for inputting necessary determination parameters and the like to the user. The definition data generation unit 130 registers the event definition data in the definition data storage unit 102 in FIG. 9 in association with the event code. The accepting unit 210 transmits an event code to the information management apparatus 100 together with information indicating that event definition data has been registered.

  The event generation unit 120 in FIG. 9 performs an event generation process in response to an instruction from the planning unit 104 in FIG. When an event occurs, the event generation unit 120 associates the event code with the occurrence date and stores them in the event storage unit 202. As a result, events generated by the event generation unit 120 are sequentially stored in the event storage unit 202.

  The providing unit 204 reads an event from the event storage unit 202 and transmits it to the information management device 100 when receiving an instruction for requesting provision of an event (hereinafter referred to as “event provision request”) from the information management device 100. . By accumulating events in this way, the information management apparatus 100 in FIG. 7 does not always need to be connected to the network 12, and can acquire events from the event providing apparatus 200 at the timing required by the information management apparatus 100.

  The access history storage unit 206 holds the last access date and time in association with information for identifying the information management apparatus 100 (hereinafter referred to as “terminal information”). Upon receiving the event provision request, the providing unit 204 refers to the access history storage unit 206 using the requesting terminal information as a search key, and identifies the last access date and time. Then, the providing unit 204 reads events generated after the specified last access date and time from the event storage unit 202 and transmits them to the information management apparatus 100. As a result, events that have recently occurred can be selectively provided to the information management apparatus 100.

  The event providing apparatus 200 accepts registration of event definition data from a plurality of different information management apparatuses 100 and generates an event corresponding to each event definition data. For this reason, simply providing events after the last access date and time includes unnecessary events in addition to the events that the information management apparatus 100 originally needs. Accordingly, the providing unit 204 may receive an event code desired to be provided from the information management apparatus 100 and transmit the presence / absence of the event code. Thereby, only the event which each information management apparatus 100 requires can be provided, and transmission of an unnecessary event can be avoided.

  In another example, terminal information and an event code may be associated with each other, and an event code associated with the information management apparatus 100 that requested the event may be provided. In this case, a storage unit that stores the terminal information and the event code in association with each other is newly provided. And the reception part 210 preserve | saves the terminal information and event code of the information management apparatus 100 which requested | required registration of event definition data in the storage part. Then, when an event is requested, the providing unit 204 may provide an event code with reference to the storage unit.

  Among events that occur after the last access date and time, there may be a case where a plurality of the same events are included. In this case, the providing unit 204 transmits an event code so that the same event does not overlap. In addition, the event code may be transmitted together with the event occurrence date and time. In this case, the providing unit 204 transmits the latest occurrence date and time in association with the event code in the same event.

  FIG. 10 is a diagram illustrating an example of the data structure of the event storage unit 202 of FIG. The ID column 250 holds management identification information. The event code column 252 holds the event code of the event that has occurred. The occurrence date / time column 254 holds the event occurrence date / time. The providing unit 204 in FIG. 9 provides an event code of an appropriate event with reference to this data.

  The present invention has been described based on the embodiments. This embodiment is an exemplification, and it will be understood by those skilled in the art that various modifications can be made to combinations of the respective constituent elements and processing processes, and such modifications are also within the scope of the present invention. is there. Examples of such modifications include the following.

  The first modification relates to the search unit 112 in FIGS. 3 and 8. Although the search unit 112 searches the knowledge data using the event code as a search key, the search unit 112 may search the knowledge data using a keyword associated with the event in advance and the keyword as a search key. As a result, knowledge data that is not associated with an event can be searched using the occurrence of the event as a trigger.

  The second modification relates to the acquisition unit 122 in FIGS. 3, 8, and 9. Although the acquisition unit 122 acquires the web page specified by the URI, the acquisition unit 122 may acquire the web page from a site that requires authentication. When acquiring a web page from such a site, the event definition data further includes information necessary for authentication in addition to the URI.

  The third modification example also relates to the acquisition unit 122. For example, the acquisition unit 122 may acquire a web page from a database such as a patent-related database or an academic paper database. In this case, the event definition data holds at least a keyword used for search in addition to the URI.

  The fourth modification relates to operation. The “knowledge data” may be an advertisement, for example. Since an advertisement can be presented according to the event, a high advertising effect can be expected. Further, the present apparatus may be incorporated in an electric appliance such as a television. If an operation menu, control information, or the like is registered as knowledge data, for example, a list of programs related to the event may be displayed, or the device may be controlled related to the event. As a specific example, when an event “air temperature is 28 ° C. or higher” occurs, control such as “slightly lower the brightness of the television screen” may be performed.

It is a figure for demonstrating the information management apparatus which concerns on embodiment. (A) is a figure which shows the state which displayed the web page acquired from the weather information site with the browser, (b) is an example of the web page for displaying the screen of (a). It is an internal block diagram of the information management apparatus of FIG. It is a figure which shows an example of the data structure of a definition data storage part. It is a figure which shows an example of the data structure of the target information storage part of FIG. It is a flowchart of the event generation process in the event generation part of FIG. It is a figure for demonstrating the information management system which concerns on 2nd Embodiment. It is an internal block diagram of the information management apparatus of FIG. It is an internal block diagram of the event provision apparatus of FIG. It is a figure which shows an example of the data structure of the event storage part of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Information management system, 100 Information management apparatus, 102 Definition data storage part, 104 Planning part, 106 Collection part, 108 Knowledge storage part, 110 Storage processing part, 112 Search part, 114 Setting part, 116 Display processing part, 118 Target information Storage unit, 120 event generation unit, 120 weather event generation unit, 120 traffic event generation unit, 120 news event generation unit, 122 acquisition unit, 124 extraction unit, 126 determination unit, 130 definition data generation unit, 132 template storage unit, 200 Event providing device, 202 event storage unit, 204 providing unit, 206 access history storage unit, 210 receiving unit.

Claims (15)

A knowledge storage for holding knowledge data;
An event generator that generates an event based on target information acquired from a server connected to the network;
A search unit for searching knowledge data from the knowledge storage unit using the event as a search key;
A knowledge management device comprising: The event generator is
An acquisition unit for reading a web page from the server;
An extraction unit that extracts, as target information, a portion that satisfies a predetermined condition from the read web page;
When the extracted target information satisfies the event occurrence condition, the determination unit that outputs the event,
The knowledge management apparatus according to claim 1, comprising: The event generation unit further includes a target information storage unit that accumulates the target information, and the determination unit includes target information newly extracted by the extraction unit and past information accumulated in the target information storage unit. The knowledge management apparatus according to claim 2, wherein the determination is performed based on the target information. Holds event definition data that associates an event code to identify an event, information to acquire a web page used to generate the event, target information extraction conditions, and event generation conditions The knowledge management device according to claim 2, further comprising a definition data storage unit configured to perform a series of processing for generating an event with reference to the definition data storage unit. . The knowledge management apparatus according to claim 4, further comprising a storage processing unit that receives knowledge data and associates the event code with the knowledge code and registers it in the knowledge storage unit. The event definition data further includes information regarding the attribute of the event, and when the knowledge management device includes a plurality of pieces of knowledge data having different corresponding events, the knowledge management device includes, for each piece of knowledge data included in the search result, The knowledge management apparatus according to claim 4, further comprising a setting unit that sets a priority based on an attribute. The event definition data further includes information for designating a timing for performing the event generation process, and the knowledge management device further includes a planning unit that instructs the event generation unit to start the event generation process based on the timing. The knowledge management device according to any one of claims 4 to 6, wherein: The event definition data further includes information for specifying an event acquisition destination, and the knowledge management device acquires an event from a specified device outside the device when the acquisition destination is outside the device. The knowledge management device according to claim 4, further comprising: An event generator that generates an event based on target information acquired from a server connected to the network;
An event accumulator that accumulates events that occur along with the date and time of occurrence;
A providing unit that outputs an event accumulated in the event accumulation unit to a client connected via a network;
An information providing apparatus comprising: The event generator is
An acquisition unit for reading a web page from the server;
An extraction unit that extracts, as target information, a portion that satisfies a predetermined condition from the read web page;
When the extracted target information satisfies the event occurrence condition, the determination unit that outputs the event,
The information providing apparatus according to claim 9, further comprising: The event generation unit further includes a target information storage unit that accumulates the target information, and the determination unit includes target information newly extracted by the extraction unit and past information accumulated in the target information storage unit. The information providing apparatus according to claim 10, wherein the determination is performed based on the target information. Holds event definition data that associates an event code to identify an event, information to acquire a web page used to generate the event, target information extraction conditions, and event generation conditions The information providing apparatus according to claim 10, further comprising a definition data storage unit configured to perform a series of processes for generating an event with reference to the definition data storage unit. . 13. The information providing apparatus according to claim 12, wherein the definition data storage unit holds event definition data for each client, and the providing unit provides an event associated with a connected client. The information providing apparatus according to claim 9, wherein the providing unit provides an event stored in the event storage unit after the last access date and time of the client. 15. The method according to claim 14, wherein when a plurality of the same events are accumulated after the last access date and time of the client, the providing unit provides only the newest event among the plurality of the same events to the client. Information providing device.

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