JP6157244B2 - Content management system, content management method and program - Google Patents

Description

  The present invention relates to a content management system, a content management method, and a program, and more particularly to a technique effective for automatic content generation.

  On the Internet, there is an encyclopedia site using collective intelligence as described in Non-Patent Document 1. However, here, each content is manually created and registered by a user on the Internet.

  On the other hand, Patent Documents 1 to 3 shown below are known as methods for automatically organizing information for use by a computer.

  Patent Document 1 is a material summarization system, which discloses a method for automatically summarizing materials by preparing several keywords called items of knowledge data and extracting matched words in the materials. Yes.

  Patent Literature 2 is an encyclopedia system that discloses a method for extracting a part that explains a term from a Web page including a term input by a user, generating content called encyclopedia information, and providing it to a question response ing.

  Patent Literature 3 is a search system, and includes eight types of definition information such as “what is” and method information such as “the method to do is” based on information included in a certain book. Is extracted by natural language processing, the written content is converted into a knowledge representation format called a knowledge block, and an answer to a question is generated and presented using the knowledge representation format.

JP 2003-030191 A JP 2003-085181 A JP 2010-250439 A

Wikipedia homepage (http://en.wikipedia.org/)

  However, the present inventors have found that there are the following problems in a system that automatically organizes and uses such information as described above.

  First, the idea of summarizing the relevant material is the starting point of the relevant material, and it is only necessary to express knowledge that depends on the content, and a description that is necessary from the viewpoint of organizing things in the world. Is not made.

  For example, when a given content such as the document or book is used as a starting point as in Patent Document 1 or Patent Document 3, it is not an arrangement of information from the viewpoint of wanting to know such a concept in the first place. It is only possible to summarize what is written in a given content in the same way as it is written in that given content.

  Secondly, when there are a plurality of documents as information sources to be referred to in the world, they cannot be combined into one knowledge that is organically integrated. In Patent Document 2, when there are a plurality of extraction results to be output, all of the extraction results are output, or in that case, output is performed in descending order of the evaluation value of the field model P (c | d), or the specific field c is narrowed down. Output one of them.

  Here, P (c | d) represents the degree to which the term explanation d is related to the field c. With the function of selecting only the description that seems to be close to the correct answer and extracting it so that it can be easily seen, it is not possible to use it in a way that you want to view the information in that field in an organized form. Can not.

  Third, with functions such as question answering, you can only answer what was heard like a Q & A, and like the encyclopedia, generate and use systematic knowledge about the field, including its peripheral knowledge. Can not be used.

  An object of the present invention is to provide a technique capable of systematizing knowledge from the viewpoint of organizing things by automatically generating a knowledge system that is a statistic about a corresponding field.

  The above and other objects and novel features of the present invention will be apparent from the description of this specification and the accompanying drawings.

  Of the inventions disclosed in the present application, the outline of typical ones will be briefly described as follows.

  In other words, the outline of typical ones is applied to a content management system and has the following characteristics.

  The content management system includes a collection / processing unit, a content editing unit, a class template, and an output generation unit. The collection / processing unit collects text data and stores the text data as a data page. The content editing unit edits the content. The class template describes how to describe each concept in the knowledge system. The output generation unit searches for a word input based on the search request from the headword of the description page, and acquires information on the description page that matches the word.

  Then, by referring to the class template, the content editing unit acquires the items necessary for describing the knowledge system corresponding to the headword and the processing for the item, and searches the data page to obtain the text data related to the headword. Acquire and store the acquired item, process, text data, and headword as a description page.

  The present invention can also be applied to a method using a system that collects text data and automatically generates a knowledge system that is statistics about the relevant field, and a program that causes a computer system to function as the system.

  Among the inventions disclosed in the present application, effects obtained by typical ones will be briefly described as follows.

  A wide range of information can be organized without depending on the content of the input information.

It is explanatory drawing which shows an example of a structure of the content management system in this Embodiment. It is explanatory drawing which shows an example of the data format of the concept dictionary in the dictionary which the content management system of FIG. 1 has. It is explanatory drawing which shows an example of the data format of the synonym dictionary in the dictionary which the content management system of FIG. 1 has. It is explanatory drawing which shows an example of the data format of the class template which the content management system of FIG. 1 has. It is a flowchart which shows an example of the process of the collection and the process part which the content management system of FIG. 1 has. It is explanatory drawing which shows an example of the format of the data page which the content management system of FIG. 1 has. It is a flowchart which shows an example of the process of the content edit part which the content management system of FIG. 1 has. It is explanatory drawing which shows an example of the description of the knowledge system produced | generated by the content editing part. It is explanatory drawing which shows an example of the data of all the customer name candidates stored in a dictionary. It is explanatory drawing which shows the example of a storage of the name in charge of our company extracted by the method execution part which a content edit part has. It is a flowchart which shows an example of a process of the output generation part which the content management system of FIG. 1 has. It is explanatory drawing which shows the example of a display of the search result displayed on an output part.

  In the following embodiments, when it is necessary for the sake of convenience, the description will be divided into a plurality of sections or embodiments. However, unless otherwise specified, they are not irrelevant to each other. There are some or all of the modifications, details, supplementary explanations, and the like.

  Further, in the following embodiments, when referring to the number of elements (including the number, numerical value, quantity, range, etc.), especially when clearly indicated and when clearly limited to a specific number in principle, etc. Except, it is not limited to the specific number, and may be more or less than the specific number.

  Further, in the following embodiments, the constituent elements (including element steps and the like) are not necessarily indispensable unless otherwise specified and apparently essential in principle. Needless to say.

  Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of components, etc., the shape of the component is substantially the case unless it is clearly specified and the case where it is clearly not apparent in principle. And the like are included. The same applies to the above numerical values and ranges.

  In all the drawings for explaining the embodiments, the same members are denoted by the same reference symbols in principle, and the repeated explanation thereof is omitted. In order to make the drawings easy to understand, even a plan view may be hatched.

<Content management system configuration>
Hereinafter, the embodiment will be described in detail based on the above-described outline.

  FIG. 1 is an explanatory diagram illustrating an example of a configuration of a content management system 100 according to the present embodiment.

  As shown in FIG. 1, a content management system 100 that is a computer system includes a collection / processing unit 101, a content editing unit 102, an output generation unit 103, an input unit 104, a memory 105, a dictionary 106, a class template 107, and a content database 108. , An output unit 109, and a gateway 110.

  These collection / processing unit 101, content editing unit 102, output generation unit 103, input unit 104, memory 105, dictionary 106, class template 107, content database 108, output unit 109, and gateway 110 are mutually connected via a bus 111. It is connected to the.

  Further, the content database 108 has a data page 113 and a description page 114, and the content editing unit 102 has a method execution unit 115. The gateway 110 is connected to the network 112.

  The collection / processing unit 101 collects text data and processes the text data. The content editing unit 102 sets a headword and edits text data related to the headword.

  The output generation unit 103 searches the description page 114 of the content database 108 based on the search request input from the input unit 104. The input unit 104 includes, for example, a keyboard and a mouse.

  The memory 105 holds data. The dictionary 106, which is a dictionary database, stores a concept dictionary, a synonym dictionary, and the like. The class template 107 is a template in which a description method of whether a concept is to be explained in the knowledge system is described. The content database 108 stores a data page 113 and a description page 114.

  The output unit 109 is, for example, a monitor or a printer. The gateway 110 is a connection node that connects the content management system 100 to a network 112 such as the Internet.

<Dictionary configuration example>
Next, the dictionary 106 will be described.

  FIG. 2 is an explanatory diagram showing an example of the data format of the concept dictionary in the dictionary 106 included in the content management system 100 of FIG. FIG. 3 is an explanatory diagram showing an example of the data format of the synonym dictionary in the dictionary 106 included in the content management system 100 of FIG.

  As described above, the dictionary 106 stores the concept dictionary shown in FIG. 2 and the synonym dictionary shown in FIG.

  The concept dictionary of FIG. 2 shows an example in which the concept of the child is developed with “disability” at the top level. In addition, the synonym dictionary of FIG. 3 shows a state in which synonyms for words are stored in association with each other. Here, “failure”, “failure”, “failure”, and “disorder” are registered as synonyms for “failure”.

<Example data format of class template>
FIG. 4 is an explanatory diagram showing an example of the data format of the class template 107 included in the content management system 100 of FIG.

  As shown in FIG. 4, the class template 107 describes a description method of how the concept should be explained in the knowledge system for each concept. In the example of FIG. 4, there are “4” items described in the knowledge system for the heading “failure”, and four of them are “failure type”, “failure history”, “ “Customer” and “Our company” are described.

  Also, “Classification (Child Enumeration (Disability))” to the right of “Type of Disability”, “Time Series Enumeration” to the right of “History History”, and “Classification (Customer Extraction)” to the right of “Customer”. , “Category (Extract from our company)” is located on the right side of “In charge of our company”, and the processing to be executed for each item is described. This is called a method.

  The processing functions of the collection / processing unit 101, the content editing unit 102, and the output generation unit 103 described below are stored in, for example, a program storage memory (not shown) provided in the content management system 100. Is implemented by a CPU (Central Processing Unit) (not shown) of the content management system 100.

<Example of collection / processing section>
Next, processing of the collection / processing unit 101 will be described with reference to FIG.

  FIG. 5 is a flowchart showing an example of processing of the collection / processing unit 101 included in the content management system 100 of FIG.

  The collection / processing unit 101 collects text data from the network 112 via the gateway 110 (step S101). Here, the network 112 is, for example, an Internet line or an intranet.

  Further, in the process of step S101, web servers in the world may be searched like web crawling, or data may be collected by limiting keywords and search target servers input by the input unit 104. Good.

  Then, the collected data is held in the memory 105, and processing such as assigning a serial number of the data or adding a collection source location by using a URL (Uniform Resource Locator) or the like is performed (step S102). Furthermore, a text processing index may be generated and held together. Subsequently, the data held in the memory 105 by the process of step S102 is stored in the data page 113 (step S103).

<Data format example of data page>
FIG. 6 is an explanatory diagram showing an example of a storage format of data stored in the data page 113 in the process of step S103 of FIG. The storage format in the process of step S103 includes “serial number”, “text content”, “collection source”, and “index” as illustrated.

<Example of processing by the content editor>
FIG. 7 is a flowchart showing an example of processing of the content editing unit 102 included in the content management system 100 of FIG.

  First, the content editing unit 102 sets a headword that is one item of the knowledge system (step S201). Here, as a specific example, a knowledge system construction based on work history data collected at a help desk of a personal computer will be described as an example. For example, the word “software failure” is set as the headword.

  Then, the class template 107 corresponding to the headword is selected (step S202). If there is no matching class template 107, the concept dictionary is followed to select the parent concept. Here, for example, there is no class template with the headword “software failure”, and the class template with the headword “failure” shown in FIG. 4 is selected.

  In this way, by editing the content of the knowledge system with reference to the ontology that is a concept dictionary in a certain field and the class template that follows when describing the knowledge system, it is not dragged only by the input text information, Knowledge can be systematized from the viewpoint of organizing things in the world.

  Thereafter, text data related to the headword is retrieved from the data page 113 (step S203). In that case, you may search on OR (logical sum) conditions using the synonym dictionary shown in FIG. The search result is stored in the memory 105. Integrated knowledge can be created from multiple information sources by organizing multiple text information based on class templates.

  When the search is finished, it is determined whether or not the description page creation is finished (step S204). As shown in the class template 107 in FIG. 4, since it is determined how many items should be generated, the processing is performed in order, and the process ends when the process ends. If completed, the process proceeds to step S207.

  If it is determined in step S204 that the process has ended, the description generation information stored in the memory 105 is written to the description page 114 (step S207). The description generation information related to the “software failure” is described as shown in FIG. 8, for example.

  If it is determined in step S204 that there are still items to be processed, one item that is still to be processed is selected (step S205).

  Then, a knowledge system for the selected item is generated (step S206). For example, when an item “type of failure” is selected with reference to the class template of the headword “disability”, by referring to the class template of FIG. It can be seen that the process (method) is executed.

<Example of method execution part processing>
Next, the processing operation of the method execution unit 115 will be described with reference to FIG.

  In FIG. 4, when a method is described for each item and a parenthesis is added after the method name, this is an argument to the method. If not, the entire text group searched by the headword is used as an argument.

  The description of classification (child enumeration (failure)) indicates that a method called child enumeration is executed with “failure” as an argument, and a method called classification is executed with the return value as an argument.

  The child enumeration method searches the concept dictionary for the concept of a child whose parent is an argument, and uses the value as a return value. Since the “failure” class template is now applied with the concept of a child “software failure”, the child enumeration (software failure) is “OS (Operating System) failure, middleware failure, application failure” in this case. Return value.

  The method of classification indicates that the entire text group searched by the headword is filtered and sorted according to the character string of the argument. In this case, in the text group searched for “software failure” and stored in the memory 105, the text group is classified into one that includes the word OS failure, one that includes the word middleware failure, and one that includes the word application failure. To display.

  When it is included in a plurality, it outputs to each. The output form describes the classification name, the first line of the text document, and link information (URL) to the text document.

  A method called time-series enumeration sorts and outputs all text groups searched by headwords in ascending order based on date and time information contained therein. At that time, the date / time information is extracted as a header and described as a header, the first line of the text document, and link information (URL) to the text document.

  The customer extraction method extracts a customer name from all text groups searched by headwords. All candidates for customer names are stored in the dictionary 106. FIG. 9 shows data of all candidate customer names stored in the dictionary 106.

  Therefore, the classification (customer extraction) method describes the customer name, the first line of the text document including the name, and link information (URL) to the text document from all text groups searched by the headword. It will be.

  The method of our company extraction extracts the name of our company from all text groups searched by the headword. All candidates for names in charge of the Company are stored in the dictionary 106. FIG. 10 shows data of all candidates for names in charge of the Company stored in the dictionary 106.

  Therefore, the method of classification (extraction by our company) extracts the name of our company, the first line of the text document including the name, and link information (URL) to the text document from all the text groups searched by the headword. Will be described.

<Example of output generator processing>
FIG. 11 is a flowchart illustrating an example of processing of the output generation unit 103 included in the content management system 100 of FIG.

  First, the output generation unit 103 receives a search request from the input unit 104 (step S301). Here, input of words is accepted. Then, the input accepted word is searched for in the headword of the description page 114 (step S302). At this time, the search range may be expanded with reference to the synonym dictionary shown in FIG. Subsequently, the description page 114 found by the search is output to the output unit 109 (step S303).

<Example of output unit display>
FIG. 12 is an explanatory diagram showing a display example of search results displayed on the output unit 109, and shows a state of display of a knowledge system for an input accepted word.

  The collection / processing unit 101, the content editing unit 102, and the output generation unit 103 can operate asynchronously as described above.

  Based on the above, it is possible to input text information and output a systematic description of knowledge. Also, by organizing multiple input text information based on class templates, integrated knowledge from multiple information sources such as organizing child concepts by category, organizing in chronological order, organizing by related parties, etc. Can be created.

  In the above-described embodiment, an example in which the content management system 100 operates asynchronously has been described. However, the content management system 100 may execute sequential processing on demand.

  In the embodiment, the collection / processing unit 101 executes text data search at certain intervals. However, in the case of on-demand, the collection / processing is performed when a word is input from the input unit 104. The unit 101 operates to collect text data.

  Then, the collected text data is processed, the result is processed by the content editing unit 102, and the output generation unit 103 is processed. Also in the case of on-demand, each processing operation in the content management system 100 is the same as the above-described operation.

  In the above embodiment, a program for realizing the processing functions of the collection / processing unit 101, the content editing unit 102, and the output generation unit 103 is stored in the content management system 100. It can also be provided as a service.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say.

  In addition, this invention is not limited to above-described embodiment, Various modifications are included. For example, the above-described embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to one having all the configurations described.

  Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. . In addition, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

100 content management system 101 collection / processing unit 102 content editing unit 103 output generation unit 104 input unit 105 memory 106 dictionary 107 class template 108 content database 109 output unit 110 gateway 111 bus 112 network 113 data page 114 description page 115 method execution unit

Claims (9)

A collection / processing unit for collecting text data, processing the text data and storing it as a data page;
A content editing unit that creates a knowledge system with reference to the data page and stores it as a description page ;
For each concept, a class template that describes how to describe the concept in the knowledge system,
The word inputted based on the search request retrieved from the entry word of the description page, and an output generating section for obtaining information on the description pages that match the word,
A content database storing the data page processed by the collection / processing unit and the description page generated by the content editing unit;
Have
The content editing unit refers to the class template to obtain an item necessary for describing the knowledge system corresponding to the headword and a process for the item, and the result of the process for each item is stored in the content database. Stored in the description page,
The content management system in which the collection / processing unit, the content editing unit, and the output generation unit operate individually . The content management system according to claim 1,
The content management system, wherein the collection / processing unit collects the text data by crawling. The content management system according to claim 1,
The collection / processing unit is a content management system that collects the text data when a word is input based on a search request. A collection / processing unit that collects and processes text data, a content editing unit that edits content, a class template that describes how to describe the concept in the knowledge system for each concept, An output generation unit that searches for a description page and acquires information that matches a word, and a content database that stores the data page processed by the collection / processing unit and the description page generated by the content editing unit A content management method using a computer system,
In the collection / processing unit, collecting text data, processing the text data, and storing it in the content database as a data page;
In the content editing unit, creating a knowledge system with reference to the data page, and storing it in the content database as the description page ;
In the output generation unit, searching for a word input based on a search request from a headword of the description page, and obtaining information of the description page that matches the word;
I have a,
In the step of storing as the description page, the content editing unit refers to the class template to acquire items necessary for the knowledge system description corresponding to the headword and processing for the items. The content management method of storing the result of the process in the description page of the content database . The content management method according to claim 4 , wherein
The step of acquiring the text data is a content management method in which the text data is collected by crawling. The content management method according to claim 4 , wherein
The text data is collected by collecting the text data when the word is input based on a search request. A collection / processing unit that collects and processes text data, a content editing unit that edits content, a class template that describes how to describe the concept in the knowledge system for each concept, An output generation unit that searches for a description page and acquires information that matches a word, and a content database that stores the data page processed by the collection / processing unit and the description page generated by the content editing unit A program to be executed by a computer system,
In the collection / processing unit, collecting text data, processing the text data, and storing it in the content database as a data page;
In the content editing unit, creating a knowledge system with reference to the data page, and storing it in the content database as the description page ;
In the output generation unit, searching for a word input based on a search request from a headword of the description page, and obtaining information of the description page that matches the word;
I have a,
The step of storing as the description page refers to the class template to obtain an item necessary for the knowledge system description corresponding to the headword and a process for the item, and a result of the process for each item is obtained. A program stored in the description page of the content database . The program according to claim 7 , wherein
The step of acquiring the text data is a program for collecting the text data by crawling. The program according to claim 7 , wherein
The text data is collected by collecting the text data when the word is input based on a search request.

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