JP2008077353A - Method for classifying keyword, server computer, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for classifying keywords capable of determining a hierarchical structure between numerous keywords so as to be corresponding to URLs. <P>SOLUTION: A server computer uses a storage means to store keywords sent from the outside, the meanings of the keywords, and URLs related to the keywords in a storage part. Based on the paths of the plurality of URLs stored, the hierarchical structure of the URLs is determined by a determination means; specifically, the URLs with the same server name are first extracted from the plurality of URLs stored in the storage part; then a hierarchical structure is determined according to the names and the number of paths subsequent to the server name of the URLs related to the server name extracted. Furthermore, the server computer uses a hierarchical structure determination means to determine the hierarchical structure of the keywords corresponding to the respective URLs, based on the hierarchical structure of the URLs determined by the determination means. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  In the present invention, a keyword transmitted from outside and the meaning of the keyword are stored in the storage unit, and when a keyword meaning acquisition request is received, the control unit of the server computer sends the keyword and the meaning of the keyword to the outside. The present invention relates to a keyword classification method to be transmitted, a server computer, and a program for causing the server computer to function.

  In recent years, a system has been provided in which an unspecified number of users register a keyword and the meaning of the keyword in a web server. In such a system, in order to improve the accuracy of the meaning of a keyword, many users can freely edit the content (for example, refer nonpatent literature 1). Many such keywords are also used in so-called blogs, which are diary-like homepages. That is, in a blog, a hyperlink is attached to a registered keyword, and an interested user can click on this to obtain the meaning of the registered keyword, image data, or related information.

  When a user newly registers a keyword, the user inputs a keyword and the meaning of the keyword, and also inputs a URL (Uniform Resource Locator) corresponding to the keyword as necessary. For example, when registering the keyword “Missan”, which is the keyword, the official site “http://www.missan.com” of the manufacturer “Missan” is registered. As a result, when the user clicks on the keyword “Missan”, in addition to the meaning of “Missan”, information on the URL of the official site can also be obtained.

In addition, innumerable websites are classified and displayed according to verbs on a portal site of a general search search engine (see, for example, Non-Patent Document 2). For example, the verb “buy” is classified and displayed as hyperlinks such as shopping and auctions, and the verb “know” is classified as news and weather. By clicking on the classified hyperlink, the user can access a desired website.
Hatena Diary Keyword Internet <URL: http://d.hatena.ne.jp/keyword/> Yahoo! JAPAN Internet <URL: http://www.yahoo.co.jp/>

  However, in such a keyword registration system, the number of registrations has increased rapidly in recent years, and the burden on the administrator of the web server that manages this has been large. While keywords and keyword meanings can be freely registered by an unspecified number of users, it has become difficult to clarify the relationship between registered keywords.

  In addition, a keyword is not uniquely identifiable, and a plurality of keywords may indicate one thing. For example, the keywords “Missan” and “Missan automobile” both indicate the same thing, and the URLs specified together are also common. In this case, the relationship between keywords is further complicated.

  Also, in general, blogs are performed by the user registering the events, etc. that existed on that day to the web server, but the task of creating and registering this sentence every day is heavy, and updating tends to be delayed depending on the user. There was also a problem. Such a problem cannot be solved by the technique disclosed in Non-Patent Document 1.

  Furthermore, the technology disclosed in Non-Patent Document 2 classifies each website by verb, and all of these must be manually determined to which category the website belongs, and it is increasing. It was not a system that could efficiently classify the websites and keywords that follow.

  The present invention has been made in view of such circumstances, and an object of the present invention is to store keywords, keyword meanings, and URLs related to keywords transmitted from the outside, and a hierarchical structure of URLs based on a plurality of stored URL paths. A keyword classification method, a server computer, and a server that can determine a hierarchical structure between a large number of keywords corresponding to URLs by determining a hierarchical structure of keywords based on the hierarchical structure of the URL The object is to provide a program for causing a computer to function.

  Another object of the present invention is to classify a hyperlink group including a keyword corresponding to an upper layer keyword and a URL corresponding to an upper layer keyword based on the determined hierarchical structure when an acquisition request for the meaning of the keyword is received. It is an object of the present invention to provide a server computer in which a user can recognize a keyword hierarchical structure by generating a document and transmitting the document to the user, and can easily access a website corresponding to the keyword hierarchical structure. .

  Another object of the present invention is that when a plurality of keywords are stored for the same URL, the keywords are determined to be in the same hierarchy, the usage frequency on the web is searched for each of the plurality of keywords, and a plurality of keywords are sorted in the order of usage frequency. It is an object of the present invention to provide a server computer capable of associating keyword groups freely specified by a large number of unspecified users and associating URLs corresponding thereto by assigning priorities to the keywords.

  Another object of the present invention is to store a user's identification information, a keyword, a verb for the keyword, and a comment for the keyword, which are transmitted from the outside, together with time information in a storage unit, and request for acquisition of information regarding the user's identification information Are extracted from the storage unit based on the identification information, the keyword, the verb for the keyword, the comment for the keyword, and the URL for the keyword, and sorted based on the time information to generate a document It is to provide a server computer that can generate a simple blog composed of keywords, verbs, and comments, and can easily grasp other users' simple blogs in time series. .

  Another object of the present invention is to generate a document indicating a keyword hierarchical structure related to a keyword when a keyword acquisition request is made, and to identify user identification information corresponding to the keyword, a verb for the keyword, and a keyword By generating an additional document with a comment added to the keyword, it is possible to grasp the relationship between the keyword and other keywords, and it is also possible to easily understand what user has taken what action on the keyword. Is to provide a simple server computer.

  Another object of the present invention is to classify a keyword based on a verb by counting the number of stored verbs corresponding to the keyword stored in the storage unit and determining a verb that matches the keyword according to the counted number. Another object is to provide a server computer or the like that can be used.

  Another object of the present invention is to determine a hierarchical structure of keywords, and when there is a request for acquisition of information about a verb, based on the determined hierarchical structure among keywords corresponding to a matching verb, It is another object of the present invention to provide a server computer capable of extracting and transmitting a keyword classified on the basis of a verb by extracting and transmitting a URL related to the keyword from a storage unit.

  In the keyword classification method according to the present invention, a keyword transmitted from the outside and the meaning of the keyword are stored in a storage unit, and when a keyword meaning acquisition request is received, the control unit of a server computer performs the keyword and the keyword In the keyword classification method for transmitting the meaning of the keyword to the outside, a storage step for storing the keyword transmitted from the outside, the meaning of the keyword, and a URL related to the keyword in the storage unit, and a plurality of URL paths stored by the storage step Determining a hierarchical structure of URLs based on the control unit, and determining a hierarchical structure of keywords corresponding to each URL by the control unit based on the hierarchical structure of URLs determined by the determining step It is characterized by providing.

  The server computer according to the present invention stores a keyword transmitted from the outside and the meaning of the keyword in the storage unit, and transmits the keyword and the meaning of the keyword to the outside when a request for acquiring the keyword meaning is received. In the server computer, a storage means for storing a keyword transmitted from the outside, a meaning of the keyword, and a URL related to the keyword in the storage unit, and a hierarchical structure of the URL based on a plurality of URL paths stored by the storage means And a hierarchical structure determining means for determining a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of the URL determined by the determining means.

  In the server computer according to the present invention, the determining unit extracts a URL having the same server name from a plurality of URLs stored in the storage unit, and a path name and a path after the server name of the URL related to the extracted server name. The hierarchical structure is determined according to the number.

  When the server computer according to the present invention receives an acquisition request for the meaning of a keyword, the server computer according to the present invention uses the hierarchical structure determination unit to generate a hyperlink group including at least a keyword of an upper hierarchy of the keyword and a URL corresponding to the keyword of the upper hierarchy. A generation unit that generates a hierarchically classified document based on the determined hierarchical structure, and a transmission unit that transmits the document generated by the generation unit to the outside are provided.

  In the server computer according to the present invention, when the generation means receives a keyword meaning acquisition request, the hyperlink includes at least a keyword in the upper hierarchy of the keyword and a URL corresponding to the keyword of the keyword in the upper hierarchy. The group is hierarchically classified in a tree structure or breadcrumb list format based on the hierarchical structure determined by the hierarchical structure determining means, and further an HTML document including the meaning of the keyword that received the acquisition request is generated. It is characterized by.

  The server computer according to the present invention is configured such that the hierarchical structure determining means determines the keywords to be in the same hierarchy when the storage means stores a plurality of keywords for the same URL. The system further comprises search means for searching for usage frequency on the web for each of the keywords, and granting means for assigning priorities to the plurality of keywords in the order of use frequency searched by the search means.

  The program according to the present invention stores an externally transmitted keyword and the meaning of the keyword in the storage unit, and when receiving a keyword meaning acquisition request, the computer control unit determines the keyword and the meaning of the keyword. In a program to be transmitted to the outside, a computer stores a keyword transmitted from the outside, a meaning of the keyword, and a URL related to the keyword in the storage unit, and a plurality of URL paths stored in the storage step. A determining step for determining the hierarchical structure of URLs by the control unit; and a hierarchical structure determining step for determining the hierarchical structure of keywords corresponding to each URL by the control unit based on the hierarchical structure of URLs determined by the determining step. It is made to perform.

  The server computer according to the present invention stores a keyword transmitted from the outside and information related to the keyword in a storage unit, and when receiving an acquisition request for information related to the keyword, the server computer relates to the keyword and the keyword. In a server computer for transmitting information to the outside, verb storage means for storing the user identification information, the keyword, the verb for the keyword, and the comment for the keyword in the storage unit together with time information, transmitted from the outside, and from the outside When the storage unit that stores the transmitted keyword, the meaning of the keyword, and the URL related to the keyword in the storage unit, and the acquisition request for the information related to the user identification information, the keyword and the keyword based on the identification information are received. To the verb and the keyword Extraction means for extracting the URL for the keyword and the keyword from the storage unit, the keyword extracted by the extraction means, the verb for the keyword, and the comment for the keyword are sorted based on the time information, and after the sorting, the keyword is corresponded A generating unit that generates a document including a hyperlink to which a URL to be added, a verb for the keyword, and a comment for the keyword, and a transmitting unit that transmits the document generated by the generating unit to the outside. .

  In the server computer according to the present invention, the storage means is configured to store, in the storage unit, a keyword transmitted from the outside, a keyword meaning, a URL related to the keyword, and image data related to the keyword. When receiving a request for acquiring information related to user identification information, the means obtains a keyword, a verb for the keyword, a comment for the keyword, a URL for the keyword, and image data related to the keyword based on the identification information. The generating unit is configured to extract the keyword extracted by the extracting unit, the verb for the keyword, and the comment for the keyword based on time information, and corresponds to the keyword after sorting. URL to be added Iparinku, verbs for the keywords, characterized in that are configured to generate a document including comments and image data associated with the keywords for the keyword.

  The server computer according to the present invention transmits a document including a box for inputting a keyword, a box for selecting one verb from a plurality of verbs corresponding to the keyword, and a box for inputting a comment related to the keyword to the outside. Is further provided.

  The server computer according to the present invention stores a keyword transmitted from the outside and information related to the keyword in a storage unit, and when receiving an acquisition request for information related to the keyword, the server computer relates to the keyword and the keyword. In the server computer for transmitting information to the outside, verb storage means for storing the user identification information, the keyword, the verb for the keyword, and the comment for the keyword, which are transmitted from the outside, in the storage unit; Storage means for storing a keyword, the meaning of the keyword, and a URL related to the keyword in the storage unit; a determination means for determining a hierarchical structure of URLs based on the paths of the plurality of stored URLs; and a URL determined by the determination means The keyword corresponding to each URL based on the hierarchical structure of A hierarchical structure determining means for determining a hierarchical structure of the keyword, and a hyperlink group including at least a keyword of an upper hierarchy of the keyword and a URL corresponding to the keyword of the upper hierarchy when receiving a keyword meaning acquisition request, Based on the hierarchical structure determined by the structure determining means, generating means for generating a hierarchically classified document, and identification of a user corresponding to the keyword requested for acquisition read from the storage unit in the document generated by the generating means An additional document generation unit that generates an additional document to which information, a verb for the keyword, and a comment for the keyword are added, and a transmission unit that transmits the additional document generated by the additional document generation unit to the outside .

  The keyword classification method according to the present invention stores a keyword transmitted from the outside and information related to the keyword in a storage unit, and receives an acquisition request for information related to the keyword. In a keyword classification method for transmitting information to be transmitted to the outside by the control unit of the server computer, a verb storage for storing in the storage unit user identification information, a keyword, a verb for the keyword, and a comment for the keyword transmitted from the outside Step, a counting step for counting the number of stored verbs corresponding to the keyword stored in the storage unit by the verb storage step by the control unit, and a verb that matches the keyword according to the number counted by the counting step A verb determining step for determining by the control unit; In the storage unit, in association with the keywords, characterized in that it comprises a fit verbs storage step of storing the matching verb determined by the verb determining step.

  The server computer according to the present invention stores a keyword transmitted from the outside and information related to the keyword in a storage unit, and when receiving an acquisition request for information related to the keyword, the server computer relates to the keyword and the keyword. In a server computer for transmitting information to the outside, verb storage means for storing user identification information, a keyword, a verb for the keyword, and a comment for the keyword transmitted from the outside in the storage unit, and the verb storage means Counting means for counting the number of stored verbs corresponding to the keyword stored in the storage unit, verb determining means for determining a verb that matches the keyword according to the number counted by the counting means, and the storage unit The matching verb determined by the verb determining means is associated with the keyword. Characterized in that it comprises a fit verb storing means for 憶.

  The server computer according to the present invention includes a document generation unit that generates a document including a plurality of matching verbs stored by the matching verb storage unit and a URL corresponding to each matching verb, and a document generated by the document generation unit. And a document transmission means for transmitting the document to the outside.

  The server computer according to the present invention has an acquisition request when there is a storage means for storing a keyword transmitted from the outside and a URL related to the keyword in the storage unit, and an external acquisition request for information about the verb. Corresponding to the verb, the keyword stored by the suitable verb storage means and the URL related to the keyword are extracted from the storage unit, and the keyword extracted by the extraction means and the URL related to the keyword are transmitted to the outside. And a transmission means.

  The server computer according to the present invention includes a determining unit that determines a hierarchical structure of URLs based on the stored URL paths, and a keyword hierarchy corresponding to each URL based on the hierarchical structure of URLs determined by the determining unit. A hierarchical structure determining means for determining a structure, and the extraction means stores the corresponding verb stored in the corresponding verb storage means in response to the verb for which the acquisition request is made when there is a request for acquisition of information about the verb from the outside. Based on the hierarchical structure determined by the hierarchical structure determining means among the keywords, the upper-layer keyword and the URL related to the keyword are extracted from the storage unit.

  The program according to the present invention stores a keyword transmitted from the outside and information related to the keyword in a storage unit, and when receiving an acquisition request for information related to the keyword, the keyword and information related to the keyword Is stored in the storage unit in the program for transmitting the information to the outside by the control unit of the server computer in the storage unit. The storage unit stores externally transmitted user identification information, keywords, verbs for the keywords, and comments for the keywords. A counting step for counting the number of stored verbs corresponding to the keyword stored in the storage unit by the verb storage step by the control unit, and a verb that matches the keyword according to the number counted by the counting step. Verb determination step determined by the control unit. When, in the storage unit, in association with the keywords, characterized in that to perform the adaptation verbs storage step of storing the matching verb determined by the verb determining step.

  In the present invention, the server computer stores the keyword, the meaning of the keyword, and the URL related to the keyword transmitted from the outside in the storage unit by the storage means. Then, the hierarchical structure of the URL is determined by the determining means based on the stored URL paths. Specifically, a URL having the same server name is first extracted from a plurality of URLs stored in the storage unit. Then, the hierarchical structure is determined according to the path name and the number of paths after the server name of the URL related to the extracted server name. Further, the server computer determines the keyword hierarchical structure corresponding to each URL by the hierarchical structure determining means based on the URL hierarchical structure determined by the determining means, so that each time the user registers the keyword and the URL corresponding thereto. The hierarchical structure of keywords will be gradually built up.

  In the present invention, when a keyword meaning acquisition request is received, a hierarchical structure determining unit determines a hyperlink group including at least a keyword in the upper hierarchy of the keyword and a URL corresponding to the keyword in the upper hierarchy. Based on the structure, a hierarchically classified document is generated by the generation means. Since the generated document is transmitted to the outside, the user can visually recognize not only the keyword but also the hierarchical structure of the upper hierarchy of the keyword determined by the hierarchical structure determining means.

  In the present invention, when an acquisition request for the meaning of a keyword is received, a hyperlink group including at least a keyword in the upper hierarchy of the keyword and a URL corresponding to the keyword in the upper hierarchy is determined by the hierarchical structure determining means. Based on the hierarchical structure, hierarchical classification is performed in a tree structure or breadcrumb list format, and an HTML document including the meaning of the keyword that has received the acquisition request is generated. Since the generated document having the hierarchical structure and keyword meaning is transmitted, the user can easily recognize the keyword structure of the upper layer and can clearly understand the meaning of the keyword.

  In the present invention, when a plurality of keywords are stored for the same URL by the storage means, the hierarchical structure determining means determines these keywords as the same hierarchy. This is because a keyword has a plurality of definitions. Then, the search means searches the web usage frequency for each of the plurality of keywords, and gives priority to the plurality of keywords in the order of use frequency by the search means by the grant means. As a result, a keyword with a higher reliability can be associated with the URL, and the reliability of the entire system can be improved.

  In the present invention, the server computer externally outputs a document including a box for inputting a keyword, a box for selecting one verb from a plurality of verbs corresponding to the keyword, and a box for inputting a comment related to the keyword. Send it. Then, the user identification information, the keyword, the verb for the keyword, and the comment for the keyword transmitted from the outside are stored together with the time information in the storage unit by the verb storage means. Further, the keyword transmitted from the outside, the meaning of the keyword, and the URL related to the keyword are stored in the storage unit by the storage means. Thereafter, when an information acquisition request regarding the user identification information is received, the keyword, the verb for the keyword, the comment for the keyword, and the URL for the keyword are extracted from the storage unit by the extraction means based on the identification information.

  The generating means sorts the keyword extracted by the extracting means, the verb for the keyword, and the comment for the keyword based on the time information, and after sorting, the hyperlink to which the URL corresponding to the keyword is added, the verb for the keyword, and the comment for the keyword. A document including the generated document is generated, and the generated document is transmitted to the outside. In this way, a user can create a simple blog composed of keywords, verbs, and comments, and other users can easily view this simple blog in time series. Moreover, it is possible to understand immediately be what kind of action have been made for verb and comments associated.

  In the present invention, by further including image data related to the keyword, the user's behavior can be more enjoyable and can be immediately recognized.

  In the present invention, the server computer stores the user identification information, the keyword, the verb for the keyword, and the comment for the keyword transmitted from the outside in the storage unit by the verb storage means. Further, the keyword, the keyword meaning and the URL related to the keyword transmitted from the outside are stored in the storage unit by the storage means. The hierarchical structure determining means determines the keyword hierarchical structure corresponding to each URL based on the URL hierarchical structure determined by the determining means for determining the URL hierarchical structure based on a plurality of URL paths. Thereafter, when a keyword meaning acquisition request is received, a hierarchical classification based on the hierarchical structure determined by the hierarchical structure determining means is performed on a hyperlink group including at least a keyword in the upper hierarchy of the keyword and a URL corresponding to the keyword in the upper hierarchy. The generated document is generated by the generation means.

  Then, an additional document is generated by adding, to the document generated by the generating unit, user identification information corresponding to the keyword requested to be read read from the storage unit, a verb for the keyword, and a comment for the keyword. Since the last generated additional document is transmitted to the outside, the hierarchical structure of the keyword can be easily seen, and it is possible to easily understand which user has what action and opinion for the keyword. .

  In the present invention, the user identification information, the keyword, the verb for the keyword, and the comment for the keyword transmitted from the outside are stored in the storage unit by the verb storage means. The number of stored verbs corresponding to the keyword stored in the storage unit by the verb storage unit is counted by the counting unit. The verb determining means determines a verb that matches the keyword according to the number counted by the counting means. The compatible verb storage means stores the compatible verb determined by the verb determination means in association with the keyword in the storage unit. That is, for the keyword “car”, verbs such as “ride” and “buy” are often registered, but it can be said that there are few verbs such as “eat”. Analyze and store the verb for this keyword.

  A document including a plurality of matching verbs stored by the matching verb storage means and a URL corresponding to each matching verb is generated by the document generation means, and the generated document is transmitted to the outside. It becomes possible to classify with accuracy.

  In the present invention, the storage unit stores the keyword transmitted from the outside and the URL related to the keyword in the storage unit. When there is an acquisition request for information about a verb from the outside, the keyword stored in the compatible verb storage unit and the URL related to the keyword are extracted from the storage unit by the extraction unit corresponding to the verb for which the acquisition request has been made. And since the keyword extracted by the extraction means and the URL related to the keyword are transmitted to the outside, the user can acquire the desired keyword and its URL from the verb.

  In the present invention, the hierarchical structure determining means is a keyword hierarchical structure corresponding to each URL based on the URL hierarchical structure determined by the determining means for determining the URL hierarchical structure based on the stored URL paths. To decide. Then, when there is an acquisition request for information about the verb from the outside, the extraction means corresponds to the verb for which the acquisition request has been made, and the hierarchical structure determined by the hierarchical structure determination means among the keywords stored by the compatible verb storage means Based on the above, the upper level keyword and the URL related to the keyword are extracted from the storage unit. When a search based on the classified verbs is performed, keywords that are frequently used are extracted, and among these keywords, keywords at higher levels are transmitted.

  In the present invention, the keyword, the keyword meaning, and the URL related to the keyword transmitted from the outside are stored in the storage unit. Since the server computer determines the hierarchical structure of the keyword corresponding to each URL based on the hierarchical structure of the URL determined by the determining means, the hierarchical structure determining means every time the user registers the keyword and the URL corresponding thereto. The hierarchical structure of keywords will be gradually built up. Thereby, even in a system in which a large number of unspecified users register keywords based on user independence, fair or fair keyword classification can be realized. That is, when a certain singer is registered as a keyword, there may be a dispute whether this singer belongs to the upper hierarchy “idol” or “artist”. Even in this case, the keywords related to this singer are classified according to the unique URL.

  In the present invention, when an acquisition request for the meaning of a keyword is received, a hyperlink group including at least a keyword in a higher hierarchy of the keyword and a URL corresponding thereto is based on the hierarchical structure determined by the hierarchical structure determining means. Then, the hierarchically classified document is generated by the generation means. Since the generated document is transmitted to the outside, the user can visually recognize not only the keyword but also the hierarchical structure of the upper hierarchy of the keyword determined by the hierarchical structure determining means. As a result, it is possible to easily access other keywords in the superordinate concept of the keyword.

  In the present invention, when an acquisition request for the meaning of a keyword is received, a hyperlink group including at least a keyword in a higher hierarchy of the keyword and a URL corresponding to the keyword in the upper hierarchy is determined by the hierarchical structure determining means. Based on the hierarchical structure, hierarchical classification is performed by a tree structure or breadcrumb list format, and an HTML document including the meaning of keywords is generated. Since the generated document having the hierarchical structure and keyword meaning is transmitted, the user can easily recognize the keyword structure of the upper layer and can clearly understand the meaning of the keyword.

  In the present invention, when a plurality of keywords are stored for the same URL by the storage means, the hierarchical structure determining means determines these keywords as the same hierarchy. Then, the search means searches the web usage frequency for each of the plurality of keywords, and gives priority to the plurality of keywords in the order of use frequency by the search means by the grant means. As a result, a keyword with a higher reliability can be associated with the URL, and the reliability of the entire system can be improved. As a result, infrequently used keywords such as erroneous keywords are naturally deceived.

  In the present invention, the server computer externally outputs a document including a box for inputting a keyword, a box for selecting one verb from a plurality of verbs corresponding to the keyword, and a box for inputting a comment related to the keyword. Send it. Then, user identification information, keywords, verbs, and comments transmitted from outside are stored in the storage unit together with time information by the verb storage means. After that, when an information acquisition request regarding user identification information is received, keywords, verbs, comments, and URLs are extracted based on the identification information, and the extracted keywords, verbs, and comments are sorted based on time information. . After sorting, a document including a hyperlink to which a URL corresponding to the keyword is added, a verb, and a comment is generated, and the generated document is transmitted to the outside. In this way, a user can create a simple blog composed of keywords, verbs, and comments, and other users can easily view this simple blog in time series. Moreover, it is possible to understand immediately be what kind of action have been made for verb and comments associated. This makes it possible to easily update a blog that tends to be delayed even when busy.

  In the present invention, by further including image data related to the keyword, the user's behavior can be more enjoyable and can be immediately recognized.

  In the present invention, when an acquisition request for the meaning of a keyword is received, a hierarchical structure in which a hyperlink group including at least a keyword of a higher hierarchy of the keyword and a URL corresponding to the keyword of the upper hierarchy is determined by the hierarchical structure determination means Based on the above, the hierarchically classified documents are generated by the generation means. Then, an additional document is generated by adding the user identification information, verb, and comment corresponding to the keyword requested for acquisition read from the storage unit to the document generated by the generation unit. Since the last generated additional document is transmitted to the outside, the hierarchical structure of the keyword can be easily seen, and it is possible to easily understand which user has what action and opinion for the keyword. . As a result, it is possible to easily grasp not only the keyword meaning display but also the hierarchical structure and trends of other users related to the keyword.

  In the present invention, the user identification information, the keyword, the verb for the keyword, and the comment for the keyword transmitted from the outside are stored in the storage unit by the verb storage means. The number of stored verbs corresponding to the keyword stored in the storage unit by the verb storage unit is counted by the counting unit. The verb determining means determines a verb that matches the keyword according to the number counted by the counting means. The compatible verb storage means stores the compatible verb determined by the verb determination means in association with the keyword in the storage unit. A document including a plurality of matching verbs stored by the matching verb storage means and a URL corresponding to each matching verb is generated by the document generation means, and the generated document is transmitted to the outside. It becomes possible to classify with high accuracy.

  In the present invention, the storage unit stores the keyword transmitted from the outside and the URL related to the keyword in the storage unit. When there is an acquisition request for information about a verb from the outside, the keyword stored in the compatible verb storage unit and the URL related to the keyword are extracted from the storage unit by the extraction unit corresponding to the verb for which the acquisition request has been made. Since the keyword extracted by the extracting unit and the URL related to the keyword are transmitted to the outside, the user can acquire the desired keyword and the URL from the verb.

  In the present invention, the hierarchical structure determining means is a keyword hierarchical structure corresponding to each URL based on the URL hierarchical structure determined by the determining means for determining the URL hierarchical structure based on the stored URL paths. To decide. Then, when there is an acquisition request for information about the verb from the outside, the extraction means corresponds to the verb for which the acquisition request has been made, and the hierarchical structure determined by the hierarchical structure determination means among the keywords stored by the compatible verb storage means Based on the above, the upper level keyword and the URL related to the keyword are extracted from the storage unit. When a search based on the classified verbs is performed, keywords that are frequently used are extracted, and among these keywords, keywords at higher levels are transmitted. As a result, the present invention has an excellent effect that many keywords can be efficiently classified based on the verb.

Embodiment 1
Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a schematic diagram showing an outline of a keyword classification system according to the present invention. In the figure, S is a keyword classification system, which includes a server computer 1, terminal devices 2, 2. The server computer 1, the terminal device 2, and the web server 3 are connected via a communication network N such as the Internet, and send and receive information such as HTML (Hyper Text Markup Language) documents to each other using the HTTP (Hyper Text Transfer Protocol) protocol. To do. The terminal device 2 is, for example, a personal computer, a mobile phone, or a PDA, and a browser for browsing a website is installed. Below, the terminal device 2 is demonstrated as what is the personal computer 2. FIG.

  The web server 3 publishes a website composed of a plurality of hierarchies, and transmits a web page corresponding to the acquisition request in response to the web page acquisition request from the personal computer 2. In the present embodiment, the server name of the web server 3 is “www.missan.com”. The server computer 1 stores the keyword transmitted from the personal computer 2 and its meaning, and when receiving a keyword meaning acquisition request, the server computer 1 classifies the keyword and transmits the keyword and its meaning to the personal computer 2. .

  FIG. 2 is a block diagram showing a hardware configuration of the server computer 1. The server computer 1 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12 as a control unit, an input unit 13, a display unit 14, a communication unit 16, a clock unit 18, and a storage unit 15. . The CPU 11 is connected to each hardware part of the server computer 1 via the bus 17 and controls them, and executes each software process according to a control program 15P stored in the storage part 15.

  The display unit 14 is, for example, a liquid crystal display, and the input unit 13 includes a keyboard and a mouse. The communication unit 16 is a modem, a LAN card, or the like, and transmits / receives various information to / from the personal computer 2 and the web server 3 via the communication network N according to instructions from the CPU 11. The RAM 12 is a semiconductor memory that can be read and written by designating an arbitrary address. The clock unit 18 outputs the current date and time to the CPU 11.

  The storage unit 15 is composed of, for example, a hard disk, and stores therein the above-described control program 15P, keyword file 151, URL hierarchical structure file 152, address file 153, and keyword hierarchical structure file 154. The keyword file 151, the URL hierarchical structure file 152, the address file 153, or the keyword hierarchical structure file 154 is stored in the database server (not shown) in addition to being stored in the storage unit 15 of the server computer 1. Reading and writing may be performed as necessary using SQL (Structured Query Language) according to instructions from the CPU 11. Details of the keyword file 151, the URL hierarchical structure file 152, the address file 153, and the keyword hierarchical structure file 154 will be described later.

  FIG. 3 is a block diagram showing a hardware configuration of the personal computer 2. The personal computer 2 includes a CPU 21 as a control unit, a RAM 22, an input unit 23, a display unit 24, a communication unit 26, and a storage unit 25. The CPU 21 is connected to each part of the hardware via the bus 27, controls them, and executes various software functions according to a control program (not shown) stored in the storage unit 25.

  The display unit 24 is, for example, a liquid crystal display, and the input unit 23 includes a keyboard and a mouse. In addition, you may make it comprise the display part 24 and the input part 23 integrally like a touchscreen. The communication unit 26 is a LAN card or a modem, and transmits and receives various information. The storage unit 25 uses a hard disk or memory, and stores a control program (not shown) and a browser.

  When registering a keyword in the server computer 1, the personal computer 2 accesses the server computer 1 and inputs the keyword, the meaning of the keyword, and the URL of the official website related to the keyword from the input unit 23. Note that the URL of the website input here may not be the URL of the official website, and may be that of another website as long as it is a URL related to the keyword. FIG. 4 is an explanatory diagram showing an image of the keyword editing screen. Hereinafter, an example will be described in which the keyword of the automobile “G350” published on the web server 3 is registered in the server computer 1 and the user edits the meaning and URL of the keyword “G350”. An editing screen composed of an HTML document read out and output from the storage unit 15 of the server computer 1 is displayed on the browser of the personal computer 2 as shown in FIG.

  On the editing screen, the keyword “G350” is displayed, and a box for inputting the meaning of the keyword and a URL input box are displayed. The user inputs the keyword meaning and URL through the input unit 23. When the input is completed, the registration button 231 at the bottom of the editing screen is clicked. When the registration button 231 is operated, the CPU 21 accepts the input meaning “Missan Coupe ...” and the URL “http://www.missan.com/lineup/G350.html”, together with the keyword “G350”. It transmits to the server computer 1. The CPU 11 of the server computer 1 receives this and stores the meaning and URL in the keyword file 151 in association with the keyword. By using this URL, the user can access the web server 3 from the personal computer 2 and browse the information of the automobile “G350” with a browser.

  FIG. 5 is an explanatory diagram showing a record layout of the keyword file 151. The keyword file 151 includes a keyword field, a meaning field, and a URL field. In the keyword field, a keyword transmitted from the personal computer 2 is stored. The meaning field stores the meaning of the keyword in association with the keyword. In the URL field, the URL of the official site that is the basis of the keyword information is stored in association with the keyword. When the keyword, keyword meaning, and URL are transmitted from the personal computer 2, the CPU 11 stores them in the keyword file 151.

  FIG. 6 is an explanatory diagram showing a record layout of the address file 153. The address file 153 includes a keyword field and an address field. In the address field, the meaning of the keyword and the address in the server computer 1 storing the URL are stored in association with the keyword stored in the keyword file 151. For example, if it is stated on a blog that “Missan G350 was purchased last month”, the keyword “G350” has a hyperlink of “http://dhate.com/keyword/G350”. . When the user clicks on the hyperlink via the input unit 23, the server computer 1 can be accessed. The CPU 11 of the server computer 1 refers to the hyperlink, searches the keyword file 151 based on the keyword of the corresponding address file 153, and generates an HTML document including the meaning and URL of the corresponding keyword. To the personal computer 2.

  The CPU 11 refers to the keyword file 151 to determine the URL hierarchical structure. First, the CPU 11 extracts a URL having the same server name from the URL field of the keyword file 151. In the example of FIG. 5, there are two types of server names “http. In the following, a mode for extracting “www.missan.com” that is the same server name will be described. URLs related to the server name “www.missan.com” are “http://www.missan.com/lineup/G350.html”, “http://www.missan.com/lineup/TIA.html”, "Http://www.missan.com/afterservice/", "http://www.missan.com/usedcar/", "http://www.missan.com", "http: //www.missan .com / lineup / Muran.html "," http://www.missan.com/lineup/G350.html "," http://www.missan.com/lineup/G350.html "and" http: / /www.missan.com/lineup/ ”.

  The CPU 11 determines the hierarchical structure of the URL based on the path name and the number of paths after the same server name. FIG. 7 is an explanatory diagram showing a record layout of the URL hierarchical structure file 152. The URL hierarchical structure file 152 stores URL hierarchies in stages for each server name. The CPU 11 extracts the path name delimited by / positioned next to the server name, and stores it in the first layer field. In this example, “lineup”, “afterservice”, and “usedcar” are stored as the first hierarchy. Further, the CPU 11 extracts the second path name based on the server name and the extracted first layer path name.

  In this example, the second path names “G350”, “TIA”, and “Muran” are extracted based on the server name “www.missan.com” and the first layer path name “lineup”. Then, the CPU 11 stores the extracted path name of the second hierarchy in the second hierarchy field in association with the first hierarchy. Thus, the CPU 11 determines the hierarchical structure based on the path name and the number of paths after the server name. It should be noted that the third path after the server name is also determined as a third hierarchy, as a lower hierarchy of the first hierarchy and the second hierarchy. Note that the path names “afterservice” and “usedcar” which are the first hierarchy are also stored in association with the server name.

  FIG. 8 is an explanatory diagram showing a record layout of the keyword hierarchical structure file 154. The CPU 11 determines the keyword hierarchical structure by referring to the keyword file 151 based on the server name and path name in the URL hierarchical structure file 152. In this example, “www.missan.com” is stored in the URL hierarchical structure file 152 as the highest hierarchy, and the CPU 11 uses the keyword “Missan” from the keyword file 151 based on this “www.missan.com”. Is extracted. Then, the CPU 11 stores the extracted keyword “Missan” in the server name field of the keyword hierarchical structure file 154 as the highest layer.

  Next, the CPU 11 reads a URL that satisfies the server name in the URL hierarchical structure file 152 and the path name of the first hierarchy under the AND condition from the keyword file 151, and uses the first of the keyword hierarchical structure file 154 as a path of a lower hierarchy of the server name. Store in one hierarchical field. In this example, the CPU 11 uses the keyword file 151 for the keyword “Missan all models” corresponding to “http://www.missan.com/lineup/” that satisfies “www.missan.com” and “lineup” under AND conditions. The extracted keyword “all Missan models” is stored in the first hierarchical field of the keyword hierarchical structure file 154. The CPU 11 stores the keywords “Missan after-sales service” and “Missan certified used vehicles” corresponding to the other path names “afterservice” and “usedcar” in the first layer in the keyword hierarchical structure file 154.

  Similarly, the CPU 11 stores the keyword in the keyword hierarchical structure file 154 in order to specify the hierarchical structure of the corresponding keyword for the second hierarchical path name. For example, the CPU 11 uses the keyword “TIA” corresponding to “http://www.missan.com/lineup/TIA.html” that satisfies “www.missan.com”, “lineup”, and “TIA.html” under AND conditions. Is extracted from the keyword file 151, and the extracted keyword “TIA” is stored in the second hierarchical field of the keyword hierarchical structure file 154. Thus, the keyword hierarchical structure is sequentially determined based on the URL hierarchical structure. In addition to this, the hierarchical structure of keywords may be determined by forward matching search with “/” or “.” As a delimiter. For example, if the URL “http://www.missan.com/lineup/TIA.html” exists, the CPU 11 uses “http: // www. The keyword file 151 is searched using “missan.com/”, the corresponding “Missan” is extracted, and stored as the server name of the URL hierarchical structure file 152. Then, the CPU 11 searches the keyword file 151 using “http://www.missan.com/lineup/” with “/” existing next as a delimiter, and extracts the corresponding “all models of Missan”, Stored as the first hierarchy subordinate to the server name of the URL hierarchical structure file 152. Finally, the CPU 11 searches the keyword file 151 using all of the URL “http://www.missan.com/lineup/TIA.html”, extracts the corresponding “TIA”, and stores the URL hierarchical structure file 152. Stored as a second hierarchy subordinate to the first hierarchy “lineup”.

  By the way, depending on the keyword, the same URL may be expressed by a plurality of keywords. In this example, as shown in FIG. 5, the keywords “G350”, “New G350” and “Sky G” for the automobile “G350” and the URL “http://www.missan.com/lineup/G350.html”. Is stored. Also in these cases, the CPU 11 uses the keyword corresponding to “http://www.missan.com/lineup/G350.html” that satisfies “www.missan.com”, “lineup”, and “G350.html” under the AND condition. “G350”, “New G350” and “Sky G” are extracted from the keyword file 151, and the extracted keywords “G350”, “New G350” and “Sky G” are stored in the second hierarchical field of the keyword hierarchical structure file 154. To remember. These are stored in parallel in the second hierarchy which is the same hierarchy.

  When a plurality of keywords are extracted for the same URL, the CPU 11 searches for the use frequency for each keyword and performs a process of assigning priorities in order of use frequency. For example, the priority is determined by the number of search hits by the search engine or by the most frequently used keyword in the site of the web server 3 or in the order of frequency of use in a specific blog. Hereinafter, an example in which the priority order is determined based on the number of search hits in a search engine such as Google (registered trademark) will be described. When a plurality of keywords are extracted for the same URL, the CPU 11 accesses the search engine, transmits each keyword, and receives the number of search hits. Then, the CPU 11 determines the priority order according to the received number of search hits. In this example, “G350” has the largest number of search hits, then “New G350”, “Sky G” has the smallest number of search hits, and as a result, the priority is “G350” and the second "New G350" and third place "Sky G".

  Here, when the keyword meaning acquisition request is received from the user, the CPU 11 transmits the keyword hierarchical structure, the keyword meaning, the URL, and the like to the personal computer 2. FIG. 9 is an explanatory diagram showing an image when displaying related information of a keyword. When an acquisition request for the meaning of a keyword, that is, a URL indicating a keyword address, is transmitted from the personal computer 2 to the server computer 1, the CPU 11 receives the request. In the following, an example in which a keyword “Muran”, which is a type of automobile, is clicked and a URL (address) “http://dhate.com/keyword/Muran” assigned thereto is transmitted as an acquisition request will be described. .

  The CPU 11 reads the keyword corresponding to the address related to the acquisition request received with reference to the address file 153. In this example, the keyword corresponding to the address “http://dhate.com/keyword/Muran” is “Muran”. The CPU 11 reads the meaning and URL corresponding to the read keyword from the keyword file 151. In this example, the meaning “Missan SUV” and the URL “http://www.missan.com/lineup/Muran.html” are read out. Further, the CPU 11 reads the keyword hierarchical structure from the keyword hierarchical structure file 154 based on the keyword. In this case, the CPU 11 reads at least a keyword and an upper hierarchy in the same hierarchy. In addition, you may read the keyword which consists of either the keyword of an upper hierarchy, the same hierarchy, a lower hierarchy, or these.

  In this example, “G350” and “TIA” in the same hierarchy as the keyword “Muran” are read out. Here, the CPU 11 reads the keyword with the highest priority when the priority is given. Of course, a plurality of keywords may be read out in order of priority. That is, when a keyword meaning acquisition request is received from the user, the CPU 11 sorts a plurality of keywords in order of frequency. As a result, a plurality of keywords are displayed in the browser according to the order of use frequency. Further, the CPU 11 reads out “All Missan vehicle types” in the first hierarchy, which is the upper hierarchy, and “Missan after-sales service” and “Missan certified used cars” in the same hierarchy. Further, the keyword “Missan” in the hierarchy higher than the first hierarchy is also read out.

  The CPU 11 reads the corresponding URL from the keyword file 151 based on the read keyword. The URL read here may be an address corresponding to the keyword stored in the address file 153. The CPU 11 generates an HTML document based on the read information. Specifically, an HTML document including a keyword meaning, a URL with a hyperlink, and a hierarchical structure of a tree-like keyword with a hyperlink is generated. Then, the CPU 11 transmits the generated HTML document to the personal computer 2. The browser of the personal computer 2 displays the transmitted HTML document on the browser.

  As shown in FIG. 9, the meaning of the keyword “Muran” is displayed in the meaning box 235, and the URL of the web server 3 storing the Muran information is displayed together with the hyperlink 237. The hierarchical structure of the keywords is displayed in a known tree shape or the like so that the vertical relationship can be visually recognized. In this example, keywords “Muran”, “G350” and “TIA” in the same hierarchy are displayed in parallel, and hyperlinks 234 and 234 for the keywords “G350” and “TIA” are set. Note that, as shown in FIG. 9, the lower layer “exterior” of the keyword “Muran” and the like may be displayed and a hyperlink 238 may be added.

  The keyword “All Missan models”, which is the upper hierarchy of the keyword “Muran”, and “Missan after-sales service” and “Missan certified used cars” in the same hierarchy are also displayed with hyperlinks 233, 233, 233 added. Is done. Further, a hyperlink 232 is added to the keyword “Missan” which is the highest hierarchy. In the HTML document, the keyword display position from the end of the browser is described so as to move to the right as the hierarchy moves to a lower hierarchy so that the hierarchical relationship of the hierarchy can be visually recognized. The preview image 236 is a thumbnail display of the website corresponding to the displayed URL. When displaying this, the CPU 11 accesses the web server 3 based on the URL, acquires the screen data of the website as image data such as JPEG (Joint Photographic Experts Group), and pastes it on the HTML document. do it.

  The display form of the keyword hierarchical structure is not limited to this, and may be displayed using another known method. FIG. 10 is an explanatory diagram showing an image when the hierarchical structure is displayed in the breadcrumb list format. The breadcrumb list format is a format in which the position of the page in the website is simply described with a list of links to upper pages in the hierarchical structure. The CPU 11 of the server computer 1 reads from the keyword file 151 the keywords in the upper hierarchy of the keyword to be acquired and the URL of each keyword. Then, an HTML document in which a hyperlink is added to each keyword in the upper hierarchy is generated. As shown in FIG. 10, the upper-layer keywords “Missan” and “all Missan models” of the keyword “Muran” are displayed in a breadcrumb list format with hyperlinks 101 and 102 attached thereto. In the present embodiment, in the keyword hierarchical structure, the URL of the keyword file 151 is set with the link destination of the upper hierarchy as the URL corresponding to the keyword. However, the present invention is not limited to this. The corresponding address may be set.

  FIG. 11 is a flowchart showing a keyword registration processing procedure. After establishing communication with the server computer 1, the personal computer 2 sends an edit request for the keyword desired to be edited to the server computer 1 (step S111). In response to the editing request, the CPU 11 of the server computer 1 reads the corresponding keyword editing screen from the storage unit 15 (step S112), and transmits the read editing screen to the personal computer 2 (step S113). The personal computer 2 receives the edit screen and displays the edit screen on the browser as shown in FIG. 4 (step S114).

  The CPU 21 of the personal computer 2 accepts the meaning and URL of the keyword input from the input unit 23 (step S115), and transmits the accepted meaning and URL together with the keyword to the server computer 1 (step S116). The CPU 11 of the server computer 1 receives the keyword, meaning, and URL, and stores the meaning and URL in the keyword file 151 in association with the received keyword (step S117). In this embodiment, an example of editing a keyword that has already been registered has been described. However, a new keyword, the meaning of the keyword, and all of the URL may be newly registered. Further, each time a keyword is newly stored in the keyword file 151, the CPU 11 stores an address corresponding to the keyword in the address file 153. The address may be a unique address, for example, by adding a keyword word to a predetermined URL.

  FIG. 12 and FIG. 13 are flowcharts showing the procedure of URL and keyword hierarchical structure determination processing. First, the CPU 11 of the server computer 1 reads a URL from the keyword file 151 (step S121). The CPU 11 extracts a URL with the same server name from the read URL (step S122). The CPU 11 creates an area for storing the hierarchical structure related to the server name extracted in the URL hierarchical structure file 152. In the created area, the CPU 11 stores the extracted server name in the server name field of the URL hierarchical structure file 152 as shown in FIG. 7 (step S123). This determines the highest hierarchy.

  Next, the CPU 11 performs processing for determining a hierarchy after the server name. The CPU 11 inputs an initial value of 1 to the hierarchy (step S124). That is, the path name immediately below the server name is set as the first hierarchy, and the path name immediately below is determined as the second hierarchy. The CPU 11 extracts the path name of the hierarchy (step S125), and stores the extracted path name of the hierarchy in the corresponding hierarchy field of the URL hierarchical structure file 152 in association with the server name or the server name and the upper hierarchy path name. (Step S126). In the example of FIG. 7, the path name “lineup” of the first hierarchy is stored in the first hierarchy field in association with the server name of the upper hierarchy. Also, “G350.html” in the second hierarchy is stored in the second hierarchy field in association with the server name and the corresponding path name “lineup” in the upper hierarchy.

  The CPU 11 determines whether or not path names have been extracted for all hierarchy path names (step S127). If the CPU 11 determines that the path names of all hierarchies have not been extracted (NO in step S127), the CPU 11 increments the value of the hierarchy (step S128). Then, the process proceeds to step S125, and the second hierarchy, the third hierarchy, and the hierarchical structure of each hierarchy are determined. Thereby, the hierarchical structure of the URL is determined based on the path name and the number of paths. If the CPU 11 determines that the path names of all hierarchies have been extracted (YES in step S127), the CPU 11 extracts keywords by referring to the server names stored in the URL hierarchical structure file 152 or the server names and path names (steps). S129). In the example of FIG. 7, the URL “http://www.missan.com/lineup” is derived from the server name “http://www.missan.com/” and the path name “lineup” in the first hierarchy, Based on this, the CPU 11 extracts the corresponding keyword “All Missan models” from the keyword file 151.

  Then, the CPU 11 stores the keywords in the keyword hierarchical structure file 154 in correspondence with the hierarchy of the URL hierarchical structure file 152 (step S1210). For example, the keyword “All Missan models” is stored at a position corresponding to the first hierarchy “lineup” immediately below the server name in the URL hierarchical structure file 152. By performing this for all server names and combinations of server names and path names, the hierarchical structure of keywords is determined from the URL. When the CPU 11 stores the keyword corresponding to the URL in the keyword hierarchical structure file 154 in step S1210, the CPU 11 determines whether a plurality of keywords are stored for the same URL (step S1211).

  In the example of FIG. 8, for the URL “http://www.missan.com/lineup/G350.html”, in other words, for the path name “G350.html”, a plurality of keywords “G350”, “ “New G350” and “Sky G” are stored in the keyword hierarchical structure file 154. If the CPU 11 determines that a plurality of keywords are stored for the same URL (YES in step S1211), the CPU 11 determines the same hierarchy and searches for the usage frequency (step S1212). For example, a plurality of keywords are transmitted to a search engine (not shown) and the number of search hits is received. The number of search hits is used as the usage frequency. The CPU 11 determines the priority order according to the usage frequency (step S1213). After the process of step S1213 and when it is determined that a plurality of keywords are not stored for the same URL (NO in step S1211), the process ends.

  FIG. 14 is a flowchart showing an HTML document generation procedure. The CPU 21 of the personal computer 2 makes a keyword acquisition request (step S141). For example, when acquiring the meaning of the keyword “Muran”, the URL “http://dhate.com/keyword/Muran”, which is an acquisition request, is transmitted to the server computer 1. The server computer 1 reads the keyword corresponding to the acquisition request with reference to the address file 153, and reads the meaning of the keyword corresponding to the keyword with reference to the keyword file 151 (step S142).

  Similarly, the CPU 11 reads the corresponding URL from the keyword file 151 (step S143). Next, the CPU 11 reads the upper-level keyword and the same-level keyword from the extracted keyword with reference to the keyword hierarchical structure file 154 (step S144). In the following, an example of displaying the hierarchical structure of keywords in a tree structure will be described. However, when displaying in the breadcrumb list format, it is not necessary to read out the keywords in the same hierarchy, and all the keywords in the upper hierarchy are Only the upper-level keyword immediately above the keyword is extracted, not the upper-level keyword.

  The CPU 11 reads the keywords of the upper layer and the same layer, and then reads the corresponding URL from the keyword file 151 (step S145). In addition, when a plurality of keywords exist in the upper hierarchy or the same hierarchy, the CPU 11 reads these priorities and selects the keyword having the highest priority (step S146). For example, as shown in FIG. 9, among the keywords “G350”, “new G350”, and “sky G”, only “G350” with the highest priority is described in the tree. The CPU 11 performs hierarchy classification based on the tree structure based on the read upper hierarchy and keywords of the same hierarchy (step S147). This is a process of generating an HTML document for displaying a tree structure as shown in FIG.

  The CPU 11 sets a hyperlink that associates the keyword of the upper layer and the same layer with the URL read in step S145 (step S148). This is performed by the CPU 11 setting a hyperlink based on the corresponding URL for each keyword in the HTML document. The CPU 11 inserts the meaning of the keyword read out in step S142 into the HTML document (step S149). The CPU 11 acquires a web page corresponding to the URL read in step S143 (step S1410).

  Then, the CPU 11 converts the acquired web page into image data (step S1411). Specifically, based on the URL read in step S143, the website is accessed and a web page is acquired. Then, this is displayed on the browser, and the screen data is converted into image data such as JPEG. Then, the image data is inserted into an appropriate position of the HTML document being generated in S149. Thereby, the generation of the HTML document for explaining the meaning of the keyword is completed. The CPU 11 transmits the generated HTML document to the personal computer 2 (step S1412). The CPU 21 of the personal computer 2 displays the HTML document as shown in FIG. 9 using a browser (step S1413).

Embodiment 2
FIG. 15 is a block diagram illustrating a hardware configuration of the server computer 1 according to the second embodiment. In addition to the configuration of the first embodiment, a verb file 155 is stored in the storage unit 15. This verb file 155 stores keywords, verbs, and comments in association with user identification information for each day. The server computer 1 transmits a keyword, verb, and comment registration screen to the personal computer 2 in order to prompt registration of the keyword, verb, and comment.

  FIG. 16 is an explanatory diagram showing a screen image when a keyword, a verb, and a comment are registered. In the browser of the personal computer 2, user identification information, a date and time input box 165, a keyword input box 161, a verb selection box 162, a comment input box 163 and an add button 164 are displayed. The identification information for identifying the user may be unique, and in this embodiment, a procedure when the user having the identification information “jkon” registers a keyword, a verb, and a comment after logging in will be described. . The user inputs an event of the day through the input unit 23. First, the user inputs the date and time when the event occurred from the input unit 23. In addition, the user inputs a keyword from the input unit 23 into the keyword input box 161.

  The verb selection box 162 displays a plurality of prepared verbs in a pull-down format, and the user selects an optimal verb from the input unit 23. In the present embodiment, a plurality of verbs are prepared in advance and described as a mode for selecting them. However, verbs may be manually input from the input unit 23. The user also inputs a comment for this event in the comment input box 163. When the input is completed for all items, the user clicks the add button 164 through the input unit 23. When the add button 164 is operated, the CPU 21 of the personal computer 2 uses the time information input in the date / time input box 165, the keyword input in the keyword input box 161, the verb selected in the verb selection box 162, and the comment input box. The comment input in 163 is received and transmitted to the server computer 1 together with the identification information.

  FIG. 17 is an explanatory diagram showing a record layout of the verb file 155. The verb file 155 has an area for each user identification information. The verb file 155 stores keywords, verbs, comments, and time information for each day. In the present embodiment, the event of June 29, 2006 of the identification information “jkon” is stored. In the present embodiment, keywords, verbs, comments, and time information are stored every day. However, keywords, verbs, comments, and time information may be stored on a weekly or monthly basis.

  The verb file 155 includes a keyword field, a verb field, a comment field, and a time information field. The keyword input in the keyword input box 161 is stored in the keyword field. In the verb field, the verb transmitted together with the keyword is stored in association with the keyword. In the comment field, a comment transmitted together with the keyword is stored in association with the keyword. Further, in the time information field, time information transmitted together with the keyword is stored in association with the keyword. Whenever these keywords, verbs, comments, and time information are stored, the CPU 11 performs sorting based on the time information, and re-stores the keywords, verbs, comments, and time information in time series.

  The verb file 155, the keyword file 151, and the address file 153 are mutually related, and the meaning of the keyword, the URL of the official site, or the address in the server computer 1 can be extracted from the keyword of the verb file 155. The keyword file 151 shown in FIG. 5 stores image data corresponding to the keyword in association with the keyword. For example, in the case of an automobile keyword “Muran”, image data of an automobile representing “Muran” is stored as a thumbnail. The CPU 11 of the server computer 1 transmits screen data including a date and time input box 165, a keyword input box 161, a verb selection box 162, and a comment input box 163 in response to a user request. When the daily keywords, verbs, comments, and time information input by each user are received, the keywords, verbs, comments, and time information are sequentially stored in the verb file 155 according to the user identification information and the date. Go.

  The user can browse the events of other users on a specific date on the browser. The user transmits the URL including the identification information and the month / day desired to be browsed to the server computer 1 from the input unit 23. As this URL, for example, when another user browses the blog of “jkon”, “http://dhate.com/jkon” is transmitted. The CPU 11 of the server computer 1 extracts the identification information jkon, and extracts from the verb file 155 the keyword, verb, and comment stored as June 29, 2006 of the identification information “jkon”. Further, the URL and image data corresponding to each extracted keyword are read from the keyword file 151. Note that the address stored in the address file 153 may be read as the URL corresponding to the keyword.

  The CPU 11 generates an HTML document including the read keyword, verb, comment, and image data. Further, the CPU 11 describes a URL corresponding to the read keyword and sets a hyperlink for each keyword. In addition, you may attach a hyperlink also to a verb. This point will be described later. The CPU 11 transmits the HTML document generated in this way to the personal computer 2.

  FIG. 18 is an explanatory diagram showing a display image of keywords, verbs, and comments on the browser. In the browser of the personal computer 2, a keyword with a hyperlink set, image data corresponding to the keyword, a verb with a hyperlink, and a comment are displayed in time series. Thereby, a specific user's action can be visually recognized at a glance.

  FIG. 19 is a flowchart showing a procedure for registering keywords, verbs, and comments. After establishing communication between the personal computer 2 and the server computer 1, the user inputs the identification information from the input unit 23 and logs in. The CPU 21 of the personal computer 2 requests the server computer 1 to obtain a registration screen for inputting keywords, verbs, comments, and the like (step S191). In response to the acquisition request, the CPU 11 of the server computer 1 reads a registration screen for inputting keywords, verbs, comments, and the like from the storage unit 15 and transmits them to the personal computer 2 (step S192).

  The CPU 21 of the personal computer 2 starts a browser and displays a registration screen shown in FIG. The user inputs the date and time of the event from the input unit 23. In addition, the user inputs a keyword from the input unit 23 into the keyword input box 161. The verb selection box 162 displays a plurality of prepared verbs in a pull-down format, and the user selects an optimal verb from the input unit 23. The user also inputs a comment for this event in the comment input box 163. When the input is completed for all items, the user clicks the add button 164 through the input unit 23.

  When the add button 164 is operated, the CPU 21 of the personal computer 2 uses the time information input in the date / time input box 165, the keyword input in the keyword input box 161, the verb selected in the verb selection box 162, and the comment input box. The comment input to 163 is received (step S193) and transmitted to the server computer 1 together with the identification information (step S194). The CPU 11 of the server computer 1 receives the transmitted time information, keyword, verb, comment, and identification information, and stores the time information, keyword, verb, and comment in the verb file 155 in correspondence with the identification information ( Step S195).

  FIG. 20 is a flowchart showing a keyword display processing procedure. When browsing an event of a specific month of another user, the user transmits the identification information of the other user and the month / day desired to be browsed to the server computer 1. The CPU 21 of the personal computer 2 transmits the browsing target identification information and date information to the server computer 1 (step S201). The CPU 11 of the server computer 1 extracts the identification information and keywords, verbs, and comments corresponding to the month and day from the verb file 155 based on the received identification information and month and day information (step S202). The CPU 11 sorts the keywords and verbs based on the time information within the date to be browsed (step S203).

  The CPU 11 extracts the URL and image data corresponding to the keyword from the keyword file 151 (step S204). The CPU 11 sets a hyperlink to the keyword and verb based on the extracted URL (step S205). The URL corresponding to the verb is stored separately in the storage unit 15 as described later, and a hyperlink is set based on the URL. The CPU 11 generates an HTML document in which keywords, verbs, comments, and images are arranged in chronological order (step S206). The CPU 11 transmits the generated HTML document to the personal computer 2 (step S207). The CPU 21 of the personal computer 2 receives the transmitted HTML document (step S208), and displays the received HTML document on the browser as shown in FIG. 18 (step S209).

  The second embodiment is configured as described above, and the other configurations and operations are the same as those of the first embodiment. Therefore, corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.

Embodiment 3
The third embodiment relates to a combination of the first embodiment that analyzes and displays a hierarchical structure of keywords and the second embodiment that displays keywords, verbs, and comments. FIG. 21 is an explanatory diagram showing an image when displaying related information of keywords. The CPU 11 of the server computer 1 includes image data, identification information, keywords, verbs, comments, and time information in addition to the generation of an HTML document including the keywords, keyword meanings, and keyword hierarchical structures described in the first embodiment. Generate an HTML document.

  When receiving the keyword, the CPU 11 of the server computer 1 searches the verb file 155 and extracts identification information, a verb, a comment, and time information corresponding to the keyword. When the number of extractions is large, based on the time information, the newest stored date is extracted with priority. The CPU 11 further reads out keywords from the same hierarchy or higher hierarchy from the keyword hierarchy file 154 with respect to the keyword. Then, the CPU 11 extracts identification information, a verb, a comment, and time information corresponding to the read keyword. Further, the CPU 11 reads out image data corresponding to the read keyword from the keyword file 151.

  The CPU 11 adds image data, identification information, keywords, verbs, comments, and time information to the already generated HTML document as an additional document. Note that hyperlinks are added to identification information, keywords, and verbs. In the example of FIG. 21, the verbs “I saw”, “I got on”, “I bought”, and comments etc. for the keyword “Muran” of the identification information “jkon” are listed. In addition, a verb and a comment for the keyword “Muran” of the identification information “jj” are displayed. Furthermore, identification information, a verb, and a comment corresponding to the keyword “G350” in the same hierarchy as the keyword “Muran” are displayed. Note that the keyword, keyword meaning, URL, and keyword hierarchical structure are also displayed in the browser as in the first embodiment. This makes it possible to obtain information on the meaning, hierarchical structure, and official URL of a specific keyword, as well as actions and comments based on each user's verb related to the keyword.

  FIG. 22 is a flowchart showing a display processing procedure for identification information, keywords, verbs, and the like. The CPU 21 of the personal computer 2 sends a keyword meaning acquisition request to the server computer 1 (step S221). The keyword hierarchical structure determination process and the HTML document generation process are the same as those described in the first embodiment, and a description thereof will be omitted. The CPU 11 of the server computer 1 reads the identification information, verb, comment, and time information corresponding to the keyword from the verb file 155 (step S222). The CPU 11 reads out the keywords in the same hierarchy and the upper hierarchy with respect to the keyword related to the acquisition request with reference to the keyword hierarchical structure file 154 (step S223).

The CPU 11 reads identification information, verbs, comments, and time information corresponding to keywords in the same hierarchy and higher hierarchy from the verb file 155 (step S224). Further, the CPU 11 reads from the keyword file 151 the keyword related to the acquisition request and the image data corresponding to each keyword of the same hierarchy and the higher hierarchy read in step S223 (step S225). The CPU 11 determines whether or not the number of keywords is greater than or equal to a predetermined value. If the number is greater than or equal to the predetermined value, the CPU 11 extracts a predetermined number of keywords based on the time information (step S226). For example, if the predetermined value is stored in the storage unit 15 due to the relationship between the display areas, the CPU 11 refers to the time information on the event in the verb file 155 and extracts 10 keywords in the newest order.
If it is equal to or smaller than the predetermined value, all the keywords read out in step S223 are extracted.

  CPU11 produces | generates the HTML addition document of the identification information, keyword, verb, comment, time information, and image data corresponding to the extracted keyword (step S227). The identification information is a hyperlink with a URL (for example, “http://dhate.com/jkon”), the keyword is a hyperlink with a corresponding URL stored in the keyword file 151, and the verb May describe a hyperlink to which the corresponding URL stored in the storage unit 15 is added. The CPU 11 adds the generated HTML additional document to the HTML document generated in step S1413 in FIG. 14 (step S228). Then, the CPU 11 transmits the HTML document and the HTML additional document to the personal computer 2 (step S229). The CPU 21 of the personal computer 2 receives the HTML additional document and displays the HTML document and the HTML additional document on the browser as shown in FIG. 21 (step S2210). In the present embodiment, image data corresponding to the keyword is displayed. However, user image data (such as a face photograph or character image data) is stored in the storage unit 15 in association with the identification information. Alternatively, this may be described in an HTML document and displayed on a browser.

  The third embodiment is configured as described above, and the other configurations and operations are the same as those of the first and second embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and detailed description thereof is omitted. To do.

Embodiment 4
The fourth embodiment relates to a keyword classification process based on a verb. FIG. 23 is a block diagram illustrating a hardware configuration of the server computer 1 according to the fourth embodiment. In addition to the configuration of the second embodiment, a compatible verb file 156 and a verb address file 157 are stored in the storage unit 15. FIG. 24 is an explanatory diagram showing a record layout of the conforming verb file 156. The CPU 11 of the server computer 1 counts the number of stored plural verbs corresponding to the keyword stored in the verb file 155 at a predetermined timing, and stores the verb having a large number in association with the keyword.

  The conforming verb file 156 includes a keyword field, a verb field, and a hierarchy field. Each keyword stored in the verb file 155 is stored in the keyword field. In the verb field, verbs with a large number of counts are stored among the verbs for the keyword. In the present embodiment, when the verbs stored for a keyword are counted, the top two types of verbs counted are stored in association with the keyword. For example, for the keyword “Muran”, “ridden” and “bought” are stored as conforming verbs. For the automobile keyword “Muran”, the verb “stop” may be stored, but since the number of counts is smaller than other verbs, it is not registered as a conforming verb. In addition, what is necessary is just to perform the count process of this adaptation verb every other week, for example.

  The hierarchy field stores the hierarchy to which each keyword belongs. The CPU 11 reads the hierarchy to which the keyword belongs from the keyword hierarchy file 154 and stores it in association with the keyword. For example, the keyword “Muran” is stored as the hierarchy “second hierarchy”, and the keywords “Missan” and “BMM” indicating the automobile manufacturer store “server name” indicating the highest hierarchy. As a result, information about what verb the keyword is associated with and what hierarchy each keyword belongs to is accumulated.

  FIG. 25 is an explanatory diagram showing a record layout of the verb address file 157. The verb address file 157 includes a verb field and an address field. The verb field stores a pair of verb past and present forms. In the address field, an address in the server computer 1 associated with the verb is stored. For example, the address “http://dhate.com/verb/drive” is stored in the verb past tense “ridden” and the verb present tense “ride”. The information may be appropriately input by the operator from the input unit 13.

  FIG. 26 is an explanatory diagram showing a list image of conforming verbs. The CPU 11 of the server computer 1 counts the number of keywords in which each matching verb is stored in the matching verb file 156. Then, the CPU 11 generates an HTML document including a hyperlink in which the verb stored in the verb address file 157, the number of keywords of each verb, and the address of each verb stored in the verb address file 157 are added to each verb. To the personal computer 2. As shown in FIG. 26, verbs and keyword numbers are displayed on the browser of the personal computer 2. When the user clicks on the hyperlink attached to the verb, the CPU 21 of the personal computer 2 transmits an acquisition request for information about the verb to the server computer 1.

  The CPU 11 of the server computer 1 receives this acquisition request and extracts a keyword corresponding to the verb from the matching verb file 156. Further, the CPU 11 reads out a URL corresponding to the extracted keyword from the keyword file 151. The URL read here may be the address stored in the address file 153. When the number of keywords corresponding to the verb is large, only a predetermined number of keywords may be extracted in order from the upper layer using the keyword hierarchical structure determination process described in the first embodiment. In the present embodiment, an acquisition request for information related to the verb “ride” is made. On the other hand, a keyword “Missan” related to the verb “ride” and indicating an automobile manufacturer belonging to the highest hierarchy (server name) is used. , “BMM” and “TOYO” are assumed to be extracted.

  FIG. 27 is an explanatory diagram showing an image of a keyword displayed corresponding to a verb. As shown in the figure, an information acquisition request “http://dhate.com/verb/drive” related to the verb “ride” is made, and the server computer 1 displays a keyword belonging to the highest hierarchy in response thereto. is doing. When an acquisition request is made, the CPU 11 of the server computer 1 extracts the verb “ride” from the verb address file 157, and adapts the verb file 156 based on the verb “ride” and the hierarchy “server name (top hierarchy)”. Is searched and the corresponding keyword is extracted. The CPU 11 transmits the extracted keyword to the personal computer 2. In this case, the URL corresponding to the extracted keyword may be read from the keyword file 151, and the URL read as a hyperlink may be added to the keyword to be transmitted. In the browser of the personal computer 2, the screen shown in FIG. 27 is displayed, and keywords that match the verb and belong to the upper hierarchy are displayed. In this way, the user stores keywords and verbs in association with each other, and further determines the hierarchical structure of the keywords from the URL that accompanies the keywords, so that the operator can automatically categorize the websites by verb without any work. Category classification and hierarchical structure determination processing are performed. In addition, since the classification is determined based on the user's behavior and the URL, classification processing with higher accuracy is performed. In the present embodiment, the hierarchy is stored in the conforming verb file 156 shown in FIG. 24, and when a verb is selected in FIG. It is not limited to. For example, when a verb is selected in FIG. 27 without storing the hierarchy in the compatible verb file 156, the CPU 11 may extract and display all keywords corresponding to the selected verb.

  FIG. 28 is a flowchart showing a procedure for determining a keyword matching verb. The CPU 11 of the server computer 1 refers to the date and time output from the clock unit 18 and determines whether or not a predetermined time has elapsed (step S281). If the CPU 11 determines that the predetermined time has not elapsed (NO in step S281), the above processing is repeated until the predetermined time elapses. On the other hand, when the CPU 11 determines that the predetermined time has passed (YES in step S281), the CPU 11 reads the keyword from the verb file 155 (step S282).

  The CPU 11 counts the number of verbs stored in the verb file 155 corresponding to the read keyword (step S283). The CPU 11 determines the top two types of counted verbs as matching verbs (step S284). Then, the CPU 11 stores the compatible verb determined in step S284 in association with the keyword read out in step S282 in the compatible verb file 156 (step S285). The CPU 11 reads the hierarchy corresponding to the keyword from the keyword hierarchy file 154 and stores it in the matching verb file 156 (step S286).

  FIG. 29 is a flowchart showing a keyword display processing procedure for a verb. After establishing communication between the personal computer 2 and the server computer 1, the CPU 21 of the personal computer 2 sends a verb list acquisition request to the server computer 1 (step S291). In response to the list acquisition request, the CPU 11 of the server computer 1 reads out the verbs and corresponding addresses stored in the verb address file 157 (step S292). The CPU 11 counts the number of keywords corresponding to each read verb with reference to the matching verb file 156 (step S293).

  The CPU 11 generates an HTML document including a verb to which a hyperlink related to the read address is added and the number of keywords counted (step S294). The CPU 11 transmits the generated HTML document to the personal computer 2 (step S295). The CPU 21 of the personal computer 2 displays the verb and keyword number transmitted by the browser as shown in FIG. 26 (step S296). Here, the user selects a verb to be examined from the input unit 23. The CPU 21 accepts a verb selection from the input unit 23 (step S297), and makes an acquisition request for information about the accepted verb to the server computer 1 (step S298).

  The CPU 11 of the server computer 1 extracts a keyword corresponding to the verb from the matching verb file 156 in response to the acquisition request for information regarding the verb (step S299). CPU11 extracts the keyword which belongs to the upper hierarchy among the extracted keywords with reference to the hierarchy field of the conformity verb file 156 (step S2910). Then, the CPU 11 reads out the URL corresponding to the extracted upper-layer keyword from the keyword file 151 (step S2911). CPU11 produces | generates the HTML document which set the hyperlink with respect to URL as a keyword. The CPU 11 transmits an HTML document including the keyword and URL (step S2912). The CPU 21 of the personal computer 2 displays the received HTML document on the browser as shown in FIG. 27 (step S2913). Of the keywords that match the matching verbs, hyperlinks are set for the keywords that belong to the upper hierarchy, and the user can access a desired website by operating the input unit 23. In the present embodiment, the keyword belonging to the upper hierarchy is extracted in step S2910. However, all the keywords extracted in step S299 may be transmitted together with the corresponding URL to the personal computer 2.

  The fourth embodiment is configured as described above, and the other configurations and operations are the same as those of the first to third embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and detailed description thereof is omitted. To do.

Embodiment 5
FIG. 30 is a block diagram showing a configuration of the server computer 1 according to the fifth embodiment. A program for operating the server computer 1 according to the fifth embodiment can be provided by a portable recording medium 1A such as a CD-ROM as in the fifth embodiment. Further, the computer program can be downloaded from a server computer (not shown) via the communication network N. The contents will be described below.

  A portable recording medium 1A in which a program for storing keywords, determining a hierarchical structure of URLs, determining a hierarchical structure of keywords, and the like is inserted into a recording medium reading device (not shown) of the server computer 1 shown in FIG. Then, this program is installed in the control program 15P of the storage unit 15. Alternatively, such a program may be downloaded from an external server computer (not shown) via the communication unit 16 and installed in the storage unit 15. Such a program is loaded into the RAM 12 and executed. Thereby, it functions as the server computer 1 of the present invention as described above.

  The fifth embodiment has the above-described configuration, and the other configurations and operations are the same as those of the first to fourth embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and detailed description thereof is omitted. To do.

It is a schematic diagram which shows the outline | summary of the keyword classification | category system based on this invention. It is a block diagram which shows the hardware constitutions of a server computer. It is a block diagram which shows the hardware constitutions of a personal computer. It is explanatory drawing which shows the image of a keyword edit screen. It is explanatory drawing which shows the record layout of a keyword file. It is explanatory drawing which shows the record layout of an address file. It is explanatory drawing which shows the record layout of URL hierarchical structure file. It is explanatory drawing which shows the record layout of a keyword hierarchical structure file. It is explanatory drawing which shows the image at the time of displaying the relevant information of a keyword. It is explanatory drawing which shows the image at the time of displaying a hierarchical structure by breadcrumb list format. It is a flowchart which shows the registration process procedure of a keyword. It is a flowchart which shows the procedure of the hierarchical structure determination process of URL and a keyword. It is a flowchart which shows the procedure of the hierarchical structure determination process of URL and a keyword. It is a flowchart which shows the production | generation procedure of an HTML document. 6 is a block diagram showing a hardware configuration of a server computer according to Embodiment 2. FIG. It is explanatory drawing which shows the screen image at the time of registering a keyword, a verb, and a comment. It is explanatory drawing which shows the record layout of a verb file. It is explanatory drawing which shows the display image of the keyword, verb, and comment to a browser. It is a flowchart which shows the procedure of the registration process of a keyword, a verb, and a comment. It is a flowchart which shows the display processing procedure of a keyword. It is explanatory drawing which shows the image at the time of displaying the relevant information of a keyword. It is a flowchart which shows the display processing procedure, such as identification information, a keyword, and a verb. FIG. 10 is a block diagram illustrating a hardware configuration of a server computer according to a fourth embodiment. It is explanatory drawing which shows the record layout of a conformity verb file. It is explanatory drawing which shows the record layout of a verb address file. It is explanatory drawing which shows the list image of a suitable verb. It is explanatory drawing which shows the image of the keyword displayed corresponding to a verb. It is a flowchart which shows the determination processing procedure of the matching verb of a keyword. It is a flowchart which shows the display processing procedure of the keyword with respect to a verb. FIG. 10 is a block diagram illustrating a configuration of a server computer according to a fifth embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Server computer 1A Portable recording medium 2 Personal computer 3 Web server 11 CPU (control part)
DESCRIPTION OF SYMBOLS 13 Input part 14 Display part 15 Memory | storage part 15P Control program 16 Communication part 18 Clock part 151 Keyword file 152 URL hierarchical structure file 153 Address file 154 Keyword hierarchical structure file 155 Verb file 156 Conforming verb file 157 Verb address file 21 CPU (control part) )
23 Input unit 24 Display unit 25 Storage unit 26 Communication unit N Communication network S Keyword classification system

Claims (17)

Keyword classification for storing a keyword transmitted from outside and the meaning of the keyword in the storage unit, and transmitting the keyword and the meaning of the keyword to the outside by a control unit of a server computer when a request for acquiring the keyword meaning is received In the method
A storage step of storing an externally transmitted keyword, the meaning of the keyword, and a URL related to the keyword in the storage unit;
A determination step in which the control unit determines a hierarchical structure of URLs based on a plurality of URL paths stored in the storage step;
A keyword classification method comprising: a hierarchical structure determining step of determining, by the control unit, a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of URLs determined in the determining step. In a server computer that stores a keyword transmitted from outside and the meaning of the keyword in a storage unit, and receives a keyword meaning acquisition request, transmits the keyword and the meaning of the keyword to the outside.
Storage means for storing a keyword transmitted from outside, the meaning of the keyword, and a URL related to the keyword in the storage unit;
Determining means for determining a hierarchical structure of URLs based on a plurality of URL paths stored by the storage means;
A server computer comprising: a hierarchical structure determining unit that determines a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of the URL determined by the determining unit. The determining means includes
A URL having the same server name is extracted from a plurality of URLs stored in the storage unit, and the hierarchical structure is determined according to the path name and the number of paths after the server name of the URL related to the extracted server name. The server computer according to claim 2, wherein there is a server computer. When a keyword meaning acquisition request is received, a hierarchy of at least a keyword corresponding to the upper hierarchy of the keyword and a URL corresponding to the keyword of the upper hierarchy is determined based on the hierarchy structure determined by the hierarchy structure determination means. Generating means for generating classified documents;
The server computer according to claim 2, further comprising: a transmission unit that transmits the document generated by the generation unit to the outside. The generating means includes
When a keyword meaning acquisition request is received, a hierarchical structure in which a hyperlink group including at least a keyword in the upper hierarchy of the keyword and a URL corresponding to the keyword of the keyword in the upper hierarchy is determined by the hierarchical structure determining means 5. The server computer according to claim 4, wherein the server computer is configured to generate an HTML document that includes a meaning of a keyword for which an acquisition request has been accepted, and further classified according to a tree structure or breadcrumb list format. The hierarchical structure determining means includes
When a plurality of keywords are stored for the same URL by the storage means, the keywords are determined to be the same hierarchy,
Search means for searching the frequency of use on the web for each of the plurality of keywords;
6. The server computer according to claim 2, further comprising: an assigning unit that assigns priorities to the plurality of keywords in order of use frequency searched by the search unit. In a program for storing a keyword transmitted from outside and the meaning of the keyword in a storage unit, and receiving a keyword meaning acquisition request, the computer control unit transmits the keyword and the meaning of the keyword to the outside.
On the computer,
A storage step of storing an externally transmitted keyword, the meaning of the keyword, and a URL related to the keyword in the storage unit;
A determination step in which the control unit determines a hierarchical structure of URLs based on a plurality of URL paths stored in the storage step;
A program for executing a hierarchical structure determining step of determining, by the control unit, a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of the URL determined in the determining step. A server computer that stores a keyword transmitted from outside and information related to the keyword in a storage unit, and transmits the keyword and information related to the keyword to the outside when an acquisition request for information related to the keyword is received In
Verb storage means for storing user identification information, a keyword, a verb for the keyword, and a comment for the keyword transmitted from the outside in the storage unit together with time information;
Storage means for storing a keyword transmitted from outside, the meaning of the keyword, and a URL related to the keyword in the storage unit;
An extraction means for extracting a keyword, a verb for the keyword, a comment for the keyword, and a URL for the keyword from the storage unit based on the identification information when an information acquisition request for the user identification information is received;
The keywords extracted by the extraction means, the verbs for the keywords, and the comments for the keywords are sorted based on time information, and after sorting, hyperlinks to which URLs corresponding to the keywords are added, the verbs for the keywords, and the keywords Generating means for generating a document including comments;
A server computer comprising: a transmission unit configured to transmit a document generated by the generation unit to the outside. The storage means
A keyword transmitted from outside, a keyword meaning, a URL related to the keyword, and image data related to the keyword are stored in the storage unit;
The extraction means includes
When a request for acquiring information related to user identification information is received, based on the identification information, a keyword, a verb for the keyword, a comment for the keyword, a URL for the keyword, and image data related to the keyword are stored in the storage unit. Is configured to extract from
The generating means includes
The keyword extracted by the extraction means, the verb for the keyword, and the comment for the keyword are sorted based on time information, and after sorting, a hyperlink to which a URL corresponding to the keyword is added, the verb for the keyword, and the comment for the keyword The server computer according to claim 8, wherein the server computer is configured to generate a document including image data related to the keyword. And a means for transmitting a document including a box for inputting a keyword, a box for selecting one verb from a plurality of verbs corresponding to the keyword, and a box for inputting a comment regarding the keyword to the outside. The server computer according to claim 8 or 9. A server computer that stores a keyword transmitted from outside and information related to the keyword in a storage unit, and transmits the keyword and information related to the keyword to the outside when an acquisition request for information related to the keyword is received In
Verb storage means for storing user identification information, a keyword, a verb for the keyword, and a comment for the keyword transmitted from the outside in the storage unit;
Storage means for storing a keyword transmitted from outside, the meaning of the keyword, and a URL related to the keyword in the storage unit;
Determining means for determining a hierarchical structure of URLs based on a plurality of URL paths stored;
A hierarchical structure determining means for determining a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of the URL determined by the determining means;
When a keyword meaning acquisition request is received, a hierarchy of at least a keyword corresponding to the upper hierarchy of the keyword and a URL corresponding to the keyword of the upper hierarchy is determined based on the hierarchy structure determined by the hierarchy structure determination means. Generating means for generating classified documents;
Additional document generation for generating an additional document in which a document generated by the generation unit is added with user identification information corresponding to the requested keyword read from the storage unit, a verb for the keyword, and a comment for the keyword Means,
A server computer comprising: transmission means for transmitting the additional document generated by the additional document generation means to the outside. A keyword transmitted from the outside and information related to the keyword are stored in the storage unit, and when an acquisition request for information related to the keyword is received, the control unit of the server computer transmits the keyword and the information related to the keyword. In the keyword classification method to send to the outside,
A verb storage step of storing externally transmitted user identification information, a keyword, a verb for the keyword, and a comment for the keyword in the storage unit;
A counting step in which the number of stored verbs corresponding to the keywords stored in the storage unit by the verb storage step is counted by the control unit;
A verb determining step in which the control unit determines a verb that matches a keyword according to the number counted in the counting step;
A keyword classification method comprising: a matching verb storage step for storing a matching verb determined in the verb determination step in association with a keyword in the storage unit. A server computer that stores a keyword transmitted from outside and information related to the keyword in a storage unit, and transmits the keyword and information related to the keyword to the outside when an acquisition request for information related to the keyword is received In
Verb storage means for storing user identification information, a keyword, a verb for the keyword, and a comment for the keyword transmitted from the outside in the storage unit;
Counting means for counting the number of stored verbs corresponding to the keywords stored in the storage unit by the verb storage means;
Verb determining means for determining a verb that matches the keyword according to the number counted by the counting means;
A server computer comprising: a matching verb storage unit that stores a matching verb determined by the verb determination unit in association with a keyword in the storage unit. Document generating means for generating a document including a plurality of matching verbs stored by the matching verb storage means and a URL corresponding to each matching verb;
The server computer according to claim 13, further comprising: a document transmission unit that transmits the document generated by the document generation unit to the outside. Storage means for storing a keyword transmitted from outside and a URL related to the keyword in the storage unit;
An extraction unit that extracts, from the storage unit, a keyword stored by the matching verb storage unit and a URL related to the keyword corresponding to the verb for which the acquisition request has been made when there is a request for acquisition of information about the verb from the outside; ,
The server computer according to claim 14, comprising: a keyword extracted by the extraction unit, and a transmission unit that transmits a URL related to the keyword to the outside. Determining means for determining a hierarchical structure of URLs based on a plurality of URL paths stored;
A hierarchical structure determining means for determining a hierarchical structure of keywords corresponding to each URL based on the hierarchical structure of the URL determined by the determining means;
The extraction means includes
Based on the hierarchical structure determined by the hierarchical structure determining means among the keywords stored by the conforming verb storage means, in response to the verb for which the acquisition request has been made, when there is an external acquisition request for information on the verb, The server computer according to claim 15, wherein an upper-layer keyword and a URL related to the keyword are extracted from the storage unit. The keyword transmitted from the outside and the information related to the keyword are stored in the storage unit, and when the acquisition request for the information related to the keyword is received, the control unit of the server computer transmits the keyword and the information related to the keyword. In the program to send to the outside,
On the computer,
A verb storage step of storing externally transmitted user identification information, a keyword, a verb for the keyword, and a comment for the keyword in the storage unit;
A counting step in which the number of stored verbs corresponding to the keywords stored in the storage unit by the verb storage step is counted by the control unit;
A verb determining step in which the control unit determines a verb that matches a keyword according to the number counted in the counting step;
A program for causing the storage unit to execute a matching verb storage step for storing a matching verb determined in the verb determination step in association with a keyword.

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