JP2008102754A - Information display system, information display method and information display program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information display system, an information display method and an information display program that enable a user to determine the propriety of displayed documents. <P>SOLUTION: The information display system 100 displays recommended documents obtained by retrieving documents in a document DB 52 of a server 50 on a display 22 of a client 10. The client 10 acquires document identification information including the types of the documents and the search methods used to search the documents, and displays images showing the recommended documents on the display 22 according to the types and search methods. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an information display system, an information display method, and an information display program for displaying a recommended document obtained by searching a document source.

  In recent years, a method has been proposed in which various information desired by a user is searched and displayed in a manner that is easy for the user to understand. For example, in the technique described in Patent Document 1, each document is arranged on a two-dimensional space as a display area so that the similarity between documents is represented by a distance. In the technique described in Patent Document 2, the image data obtained by the search is arranged on a concentric circle as a display area according to the degree of similarity. In the technique described in Patent Document 3, for each document, documents similar to the document are arranged concentrically as a display area centered on the document. With each of these information display methods, the user can visually recognize the similarity of information.

  In the technique described in Non-Patent Document 1, document groups are automatically classified and arranged in a two-dimensional space so that the similarity of documents is maintained. Further, when the user designates an area corresponding to a document of interest in the two-dimensional space, the document group corresponding to the area is automatically classified again and arranged in the two-dimensional space. With such a method for accessing documents, the user can gradually narrow down and acquire necessary documents, and can grasp the entire document group.

In addition, the technique described in Non-Patent Document 2 proposes a search result presentation method that makes it easy for a user to find a desired document based on the experience of the user. Information that can be a clue when the user searches for a desired document such as an icon to be displayed, a ranking, an author, and an access date is also presented. For example, the date of access is classified as “Today”, “Within a week” or “Within a month”. But you can search for documents.
JP-A-8-263514 Japanese Patent Laid-Open No. 2000-112988 JP 2001-350793 A R. Rao, JO Pederson, MA Hearst, JD Mackinlay, SK Card, L. Masinter, P. Halvorsen, GG Robertson, "Rich interaction in the Digital Library", (Communications of the ACM), Vol. 38, No. 4 , P.29-39, April 1995, Internet (URL: http://citeseer.ist.psu.edu/cache/papers/cs/26678/http:zSzzSzwww.ramanarao.comzSzpaperszSzrichinteraction-cacm95-acm.pdf/ rao95rich.pdf) Susan Dumais, Edward Cutrell, JJ Cadiz, Gavin Jancke, Raman Sarin, Daniel C. Robbins, “Stuff I've Seen: A system for personal information retrieval and re-use, in Proceedings of SIGIR 2003”, 2003, Internet ( URL: http://research.microsoft.com/~sdumais/SISCore-SIGIR2003-Final.pdf)

  However, when the above-described conventional information display method is applied to the recommended document display system, the user can grasp what kind of recommended document to be displayed, but how I don't know if it was obtained through the course of a search by a simple search method. In particular, in recent years, there has been proposed a method of displaying a document (recommended document) in response to a work such as browsing a web page or editing a document without a user's explicit search request such as keyword input by the user. In such an information display method, the user cannot recognize the search method. However, the user may not be able to accurately determine whether the document is a desired document without knowing not only the type of the displayed document but also the search method.

  An object of the present invention is to solve the above-described problems and provide an information display system, an information display method, and an information display program that allow a user to determine the appropriateness of a document to be displayed. .

  The present invention is an information display system for displaying a recommended document obtained by searching a search target document included in a document source, and is used for searching for the search target document with an attribute indicating characteristics of the search target document. A search method, an acquisition unit that acquires document specifying information that is information for specifying the recommended document, an attribute that represents a feature of the search target document, and a search method used for searching the search target document in advance. Display processing means for displaying an image indicating the presence of the recommended document at a position determined according to an attribute and a search method included in the document specifying information acquired by the acquisition means in the divided predetermined display area; It is characterized by having.

  According to this configuration, the image indicating the presence of the recommended document in the display area is arranged at a position corresponding to the attribute such as the type of the recommended document and the search method used for the search for acquiring the recommended document. become. Therefore, the user knows in advance the correspondence between the display area classification, the attribute, and the search method, and what kind of recommended document is obtained by what search method from the image included in the display area. Can be visually recognized, and it is possible to determine whether or not the recommended document is appropriate.

  In the information display system of the present invention, when the display processing means includes a plurality of recommended documents in which at least one of the attribute and the search method is the same, at least one of the attribute and the search method is selected. An image indicating the presence of the recommended document is displayed according to the number of recommended documents that are the same.

  According to this configuration, the user can visually recognize the number of recommended documents having the same attribute from the images included in the display area and the number of recommended documents obtained by the same search method.

  Further, in the information display system of the present invention, the display processing means determines the size of the area of the image indicating the presence of the recommended document according to the number of recommended documents having the same attribute and the search method, and a predetermined direction. At least one of the length and the color density may be set.

  In the information display system of the present invention, the display processing unit may display an image indicating the presence of the recommended document in response to access to the recommended document.

  According to this configuration, the user can visually recognize the access status to the recommended document from the image included in the display area.

  In addition, the information display system of the present invention searches for a search target document included in the document source based on a monitoring unit that monitors the user's work, and a monitoring result of the user's work by the monitoring unit. You may make it have a search means which acquires the recommendation document according to a user's work.

  The present invention is an information display method for displaying a recommended document obtained by searching a search target document included in a document source, and is used for searching for the search target document and an attribute representing characteristics of the search target document Including a search method, an acquisition step for acquiring document specifying information that is information for specifying the recommended document, an attribute representing characteristics of the search target document, and a search method used for searching the search target document in advance. A display processing step of displaying an image indicating the presence of the recommended document at a position determined according to an attribute and a search method included in the document specifying information acquired in the acquisition step in the divided predetermined display area; It is characterized by having.

  The present invention relates to an information display program that is executed in a computer that displays a recommended document obtained by searching a search target document included in a document source, the attribute representing the characteristics of the search target document, and the search target document A search method used for the search, and an acquisition step for acquiring document specifying information that is information for specifying the recommended document, an attribute representing a feature of the search target document, and a search target document used An image indicating the existence of the recommended document is displayed at a position determined according to the attribute and the search method included in the document specifying information acquired by the acquisition step in a predetermined display area previously divided by the search method. And a display processing step.

  According to the present invention, the user knows in advance the correspondence between the display area classification, the attribute, and the search method, so that what kind of recommended document is searched from what image is included in the display area. It is possible to visually recognize whether or not the recommended document is appropriate, and to determine whether or not the recommended document is appropriate.

  Embodiments of the present invention will be specifically described with reference to the drawings. FIG. 1 is a diagram illustrating a configuration of an information display system. An information display system 100 shown in the figure displays a recommended document in accordance with a browsing operation of a document such as a web page by a user. The information display system 100 includes clients 10-1 and 10-2 connected to a network 200 such as a LAN (hereinafter, these clients 10-1 and 10-2 are collectively referred to as “client 10” as appropriate) The server 50 is configured.

  The client 10 includes a user work area 12, a work monitoring unit 14 as a monitoring unit, a recommended document notification processing unit 16, a recommended document overview processing unit 18 as an acquisition unit and a display processing unit, a document content display processing unit 20, and a display 22. Composed. On the other hand, the server 50 includes a document database (DB) 52 and a document search unit 54 as search means.

  Hereinafter, the operation of the information display system 100 will be described with reference to a sequence diagram. FIG. 2 is a sequence diagram showing the operation of the information display system 100. The work monitoring unit 14 in the client 10 constantly monitors work in the user work area 12 by the user (S101). The user work area 12 is a space where the user works. Examples of the user work area 12 include an area for browsing a document such as a web page such as a web browser, an area for editing a document such as a word processor, and an area for drawing such as a draw tool.

  The type of user work area 12 that the work monitoring unit 14 monitors depends on the type of the user work area 12, in other words, the type of work performed by the user. The following description will be given by taking as an example a case where the work area 12 is an area for browsing a document and the work monitoring unit 14 monitors a browsing work by a user.

  The work monitoring unit 14 adds a client ID for uniquely identifying the client 10 as its own device to the text information of the browsed document at the timing when the user browses a new document, and then in the server 50. It transmits to the document search part 54 (S102).

  The work monitoring unit 14 may transmit the browsed document text information every time the user browses a new document. Alternatively, the work monitoring unit 14 may select each browsing target every time browsing occurs a predetermined number of times. It is also possible to reduce the load on the network 200 by collectively transmitting the read document text information. Further, the work monitoring unit 14 may transmit not only the text information of the browse document but also the image included in the browse document and the layout information of the browse document.

  Upon receiving the browse document text information from the work monitoring unit 14 in the client 10, the document search unit 54 in the server 50 searches the document DB 52 based on the browse document text information and acquires a recommended document (S103). ).

  Specifically, when receiving the browsed document text information and the client ID added to the browsed document text information, the document search unit 54 performs morphological analysis of the browsed document text information. Further, the document search unit 54 searches for a search target document in the document DB 52 by a predetermined search method.

  FIG. 3 is a diagram showing the structure of document management information for managing search target documents in the document DB 52. This document management information corresponds to each document and is stored in the document DB 52. In FIG. 3, “Document ID” is an ID for uniquely identifying the corresponding document. “Title” is the title of the corresponding document, but may be the file name of the document. The “path” is a pointer to the document entity. In this “path”, the path of the document may be described. When another document DB is used, the document ID of the document stored in the other document DB may be described. Alternatively, the document entity may be described as it is in the “path”. “Type” indicates the type of document.

  Various search methods are conceivable. Here, the following description will be given by taking company name search, product name search, and similarity search as examples. In the company name search, the document search unit 54 extracts a set of company names recognized in advance from morphemes, performs a full text search on the document DB 52 using each company name in the set as a keyword, A document including a name is acquired as a recommended document. In the product name search, the document search unit 54 extracts a set of pre-recognized product names from the morphemes, performs a full text search on the document DB 52 using each product name in the set as a keyword, A document including a name is acquired as a recommended document. In the similarity search, the document search unit 54 performs a similar document search on the document DB 52 based on the morpheme set, and acquires a recommended document whose similarity with the browsing document is equal to or greater than a threshold value. Note that the degree of similarity increases as the number of words included in the read document increases. For company name search, if you want to know the details of the company specified by the company name included in the reading document, product name search, if you want to know the details of the product specified by the product name included in the reading document, similarity The search is useful when it is desired to obtain another document whose content is close to that of the viewed document.

  Again, referring back to FIG. The document search unit 54 generates document specifying information, which is information for specifying a recommended document, including the type of search target document included in the document DB 52 and the search method used for searching the search target document. To the recommended document notification processing unit 16 (S104). At this time, the client 10 as the transmission destination is specified by the client ID added to the browsed document text information received by the document search unit 54.

  FIG. 4 is a diagram showing the structure of the document specifying information. In FIG. 4, “Document ID” is an ID for uniquely specifying a search target document as a corresponding recommended document. “Title” is the title of the corresponding document, but may be the file name of the document. “Type” indicates a type as an attribute representing the feature of the document. The “company name” is a list of company names that are common to the browse document and the recommended document, and is a keyword in the company name search. There may be a plurality of company names, which are separated by commas in FIG. The “product name” is a list of product names that are common to the browse document and the recommended document, and is a keyword in the product name search. There may be a plurality of product names, which are separated by commas in FIG. “Similarity” is the similarity between the viewed document and the recommended document. With the structure as shown in FIG. 4, it is possible to prevent multiple pieces of document specifying information for the same recommended document.

  Again, referring back to FIG. When the document specifying information from the document search unit 54 in the server 50 is received, the recommended document notification processing unit 16 in the client 10 notifies that a recommended document exists (S105). Any notification method may be used as long as it attracts the user's attention, and various methods are conceivable. For example, the recommended document notification processing unit 16 changes the color or shape of the operation button or icon image displayed on the display 22 or vibrates it. The recommended document notification processing unit 16 may display a message such as “There is a recommended document” on the display 22. Alternatively, the recommended document notification processing unit 16 may display a predetermined animation image on the display 22 or turn on a lamp (not shown).

  Thereafter, when the user who has been notified that the recommended document exists requests the display of the recommended document overview by an operation such as pressing an operation button (not shown), the recommended document overview processing unit 18 inputs the request. (S106).

  Further, the recommended document overview processing unit 18 causes the display 22 to display an overview image of the recommended document group, which is an overall image of the recommended group book group (S107). Specifically, the recommended document overview processing unit 18 acquires document specifying information from the recommended document notification processing unit 16. Then, based on the “type” and “search method” in the document specifying information, the recommended document overview processing unit 18 determines the recommended document corresponding to each of the document specifying information from the viewpoint of the document type and the searching method. Classify. Further, the recommended document overview processing unit 18 causes the display 22 to display an overview image of the recommended document group based on the classification result.

  Hereinafter, an example of the recommended document group overview image will be described.

  FIG. 5 is a diagram illustrating a first example of a recommended document group overview image. When the above-described operations of S101 to S106 are performed while the user is browsing the document, the recommended document overview processing unit 18 displays the types of recommended documents “patent”, “report”, and “proposal”. The menu image 202 including the corresponding operation button is displayed, and the color of the operation button corresponding to the recommended document type is varied based on the document type and the classification result from the viewpoint of the search method. Thereby, the user can recognize what kind of recommended document exists.

  When the user performs an operation of clicking the operation button whose color has changed, the recommended document overview processing unit 18 displays the corresponding submenu image 203. The sub-menu image 203 is provided for each operation button, and any of the sub-menu images 203 corresponds to search methods “company name search”, “product name search”, and “similarity search”. Images are always included in a predetermined order regardless of whether a recommended document is obtained by the search method. This is to encourage users to learn what types of recommended documents are obtained by what search method search in a particular situation by using them over a long period of time. is there. For example, if there is a recommended document whose type is patent, the user can learn logically or sensuously that the recommended document is often obtained by similarity search. Note that the images corresponding to the search method in the submenu image 203 may be arranged vertically as shown in FIG. 5 or may be arranged horizontally.

  Further, when the user performs an operation of clicking one of the images corresponding to the search method, the recommended document overview processing unit 18 has a type corresponding to the clicked operation button, and corresponds to the clicked image. The document specifying information of the recommended document obtained by the search by the search method is specified, and the title in the document specifying information is displayed.

  FIG. 6 is a diagram illustrating a second example of the recommended document group overview image. If the above-described operations of S101 to S106 are performed while the user is browsing the document, the recommended document overview processing unit 18 displays the menu image 204 including the overhead view button 205. When the user performs an operation of clicking the bird's-eye view button 205, the recommended document overview processing unit 18 performs three types of recommended documents “patent”, “report”, and “proposal”, and three search methods “company name search”. ”,“ Product name search ”, and“ similarity search ”, a two-dimensional matrix 206 made up of 3 × 3 (9) areas is displayed. Each area corresponds to one type of recommended document and one search method, and the position in the entire display area is determined in advance. In addition, the density of each segmented area has a corresponding type, and the density is determined according to the number of recommended documents obtained by the search using the corresponding search method. The higher the number, the higher the density. . The recommended document overview processing unit 18 recognizes the number of recommended documents having a predetermined type and obtained by the search by the predetermined search method based on the document type and the classification result from the viewpoint of the search method. Then, the density of the region corresponding to the type and search method is determined. Thereby, the user can recognize how many recommended documents that have a predetermined type and obtained by a search by a predetermined search method exist.

  Further, when the user performs an operation of clicking on any region constituting the two-dimensional matrix image 206, the recommended document overview processing unit 18 has a type corresponding to the clicked operation button, and the clicked image is displayed. The document specifying information corresponding to the recommended document obtained by the search by the corresponding search method is specified, and the recommended document list 208 including the title in the document specifying information is displayed. At this time, the recommended document overview processing unit 18 adds a number of asterisks corresponding to the similarity to the head of each title included in the recommended document list 208 based on the similarity in the specified document specifying information.

  FIG. 7 is a diagram illustrating a third example of the recommended document group overview image. In the two-dimensional matrix image 206 in FIG. 6, each area is square. In FIG. 7, the horizontal length of each area is determined according to the number of corresponding types of recommended documents. It is getting longer. The recommended document overview processing unit 18 recognizes the number of recommended documents having a predetermined type based on the document type and the classification result from the viewpoint of the search method, and determines the horizontal length of the area corresponding to the type. Set. Thus, the user can intuitively recognize how many recommended documents having a predetermined type exist.

  FIG. 8 is a diagram illustrating a fourth example of the recommended document group overview image. The pie chart image shown in FIG. 8 corresponds to the two-dimensional matrix image 206 in FIG. This pie chart is divided into three sectors according to the three types of recommended documents “Patent”, “Report” and “Proposal”. Furthermore, the three search methods “Company Name Search”, “Product Name” The area is divided into three concentric areas according to “search” and “similarity search”.

  The central angle of the sector is determined according to the number of corresponding types of recommended documents, and increases as the number of documents increases. Further, the concentration of the concentric circle region is determined according to the number of recommended documents obtained by the search by the corresponding search method, and is set so that the concentration increases as the number of documents increases. The recommended document overview processing unit 18 recognizes the number of recommended documents having a predetermined type based on the document type and the classification result from the viewpoint of the search method, and determines the central angle of the sector corresponding to the type. Then, the number of recommended documents obtained by the search by a predetermined search method is recognized, and the concentration of the concentric region corresponding to the search method is determined. Thereby, the user can recognize how many recommended documents that have a predetermined type and obtained by a search by a predetermined search method exist. Note that a three-dimensional cylindrical graph may be displayed instead of the two-dimensional pie chart shown in FIG.

  FIG. 9 is a diagram illustrating a fifth example of the recommended document group overview image. The city metaphor image shown in FIG. 9 corresponds to the two-dimensional matrix image 206 in FIG. This city metaphor image is classified into three types of recommended documents: “patent”, “report” and “proposal”, and three search methods “company name search”, “product name search” and “similarity search”. In a two-dimensional matrix 211 composed of corresponding 3 × 3 (9) areas, a building image 212 is arranged in the area.

  The length of each area in the horizontal direction is determined according to the number of corresponding types of recommended documents, and increases as the number of documents increases. The recommended document overview processing unit 18 recognizes the number of recommended documents having a predetermined type based on the document type and the classification result from the viewpoint of the search method, and determines the horizontal length of the area corresponding to the type. Set. The height (number of floors) of the building image 212 has a corresponding type and is determined according to the number of recommended documents obtained by the search by the corresponding search method, and increases as the number of documents increases. Yes. The recommended document overview processing unit 18 recognizes the number of recommended documents having a predetermined type and obtained by the search by the predetermined search method based on the document type and the classification result from the viewpoint of the search method. Then, the number of floors of the building image 212 arranged in the area corresponding to the type and search method is set. Thereby, the user can recognize how many recommended documents that have a predetermined type and obtained by a search by a predetermined search method exist.

  Urban metaphor images have the following advantages. In other words, humans are accustomed to seeing urban landscapes and can easily give meaning to the landscapes according to their preferences. Moreover, the beauty for a user arises by considering it as a city. Furthermore, by considering it as a city, it is possible to apply various ideas from the viewpoint of development. For example, the sky color of the background can be changed according to the display time, which can be used as a memory aid when the user remembers what kind of recommended document existed thereafter. The building image 212 that needs to be conspicuous may be rounded or pointed. In addition, in order to make the area division clearer, it may be possible to arrange street and park images between the areas. Furthermore, if human images are arranged according to the number of people who have accessed the recommended document, the user can grasp whether there are people who have accessed the corresponding recommended document. Can do.

  In addition, in the city metaphor image, it is difficult to grasp the existence of other building images that are hidden behind a large building image. Therefore, it is desirable to take measures such as changing the viewpoint.

  FIG. 10 is a diagram illustrating a sixth example of the recommended document group overview image. The city metaphor image shown in FIG. 10 is obtained by making it possible to recognize the type and search method corresponding to a predetermined recommended document in the city metaphor image shown in FIG. The recommended document overview processing unit 18 selects one of the recommended documents. For example, when the user performs an operation of clicking one of the title images included in the recommended document list 208 illustrated in FIG. 6, the recommended document overview processing unit 18 selects the recommended document according to the operation. Alternatively, the recommended document overview processing unit 18 selects a recommended document having the highest degree of similarity with the viewed document. Then, the recommended document overview processing unit 18 highlights the floor 213 corresponding to the selected recommended document in the building image 212 based on the classification result from the viewpoint of the document type and the search method, and so forth. It is displayed differently from the floor corresponding to the document. Thus, the user can recognize what kind of recommended document is selected and what kind of search method is used for the search.

  FIG. 11 is a diagram illustrating a seventh example of the recommended document group overview image. The city metaphor image shown in FIG. 11 is obtained by making it possible to recognize the past access history corresponding to a predetermined recommended document in the city metaphor image shown in FIG. In this case, the server 50 manages an access history including the number of accesses of each document, date / time information, and the like, includes the access history information in the document specifying information, and transmits the document to the client 10. Based on this access history information, the recommended document overview processing unit 18 sets the height of the floor corresponding to the recommended document in the building image 212 to a height proportional to the number of accesses, and further indicates that the floor has been accessed in the past. The displayed window image 215 is displayed in a size proportional to the number of accesses. For example, when the recommended document overview processing unit 18 can recognize a recommended document accessed in the past week, the horizontal direction of the floor is divided into seven equal parts, and each block is associated with a date, and is included in the access history information. A block corresponding to the date is displayed as a window image 215. The user can recognize whether the recommended document has been accessed based on the number of window images 215, and can further recognize how much the recommended document has been accessed based on the height of the floor and the size of the window image 215. Can do.

  In the city metaphor image shown in FIG. 11, when the cursor is placed at the position of the floor image by the user's operation, the recommended document overview processing unit 18 recommends the title of the recommended document corresponding to the floor and the recommended document. May be displayed as a tool hint about what kind of browsing document is recommended. In addition, when the cursor is placed at the position of the window image 215 by the user's operation, the recommended document overview processing unit 18 responds to the date and time when the corresponding recommended document was accessed, and what browsing document the recommended document is. Information about whether or not it has been recommended may be displayed as a tool tip.

  Again, referring back to FIG. When the user who has viewed the recommended document group overview image requests display of the contents of any recommended document by a predetermined operation, the recommended document overview processing unit 18 inputs the request (S108). For example, the user performs an operation of clicking a title of a document included in the recommended document list 208 illustrated in FIG. 6 or an operation of clicking a window image 215 in the city metaphor image illustrated in FIG. Request display of.

  When a request for displaying the content of a recommended document is input, the recommended document overview processing unit 18 generates a recommended document request including the document ID of the recommended document whose content is to be displayed and the client ID of the client 10 that is the device itself. The data is transmitted to the document search unit 54 in the server 50 (S109).

  When receiving the recommended document request, the document search unit 54 in the server 50 searches the document DB 52 using the document ID included in the recommended document request as a key, and acquires information on the substance of the recommended document. Further, the document search unit 54 transmits the acquired recommended document entity information to the document content display processing unit 20 in the client 10 (S110). At this time, the client 10 as the transmission destination is specified by the client ID included in the recommended document request received by the document search unit 54.

  Upon receiving the recommended document entity information, the document content display processing unit 20 in the client 10 displays an image of the content of the recommended document corresponding to the recommended document entity information on the display 22 (S111). Note that the recommended document entity information for all recommended documents is not sent from the server 50 to the client 10, but only the recommended document entity information for the recommended document requested by the user is sent, so that the network 200 is sent. Can reduce the load.

  As described above, in the information display system 100 of the present embodiment, an image indicating the presence of a recommended document in the entire display area is based on the type of search target document and the search method used for searching the search target document. The position is predetermined. The information display system 100 uses the type of the recommended document and the search target document in the document DB 52 for obtaining the recommended document for the recommended document obtained by the search according to the user's work. Based on the search method, an image indicating the presence of the recommended document is displayed at a position predetermined by the type and the search method. As a result, the user can recognize the type of the recommended document and the type of search method, and further classify it according to the type and search method. The distribution of recommended documents can be recognized. Therefore, the user can determine the appropriateness of the recommended document.

  In the above-described embodiment, the client 10 includes the recommended document notification processing unit 16, but may have a configuration that does not. In this case, the recommended document overview processing unit 18 changes the display format of the image displayed on the display 22 when the document specifying information is received from the document search unit 54 in the server 50. The user can recognize that the recommended document exists by such a change in the display format.

  In the above-described embodiment, the case where the company name search, the product name search, and the similarity search are used as the search method by the document search unit 54 in the server 50 has been described. However, the search method is limited to these. It is not a thing. For example, the document search unit 54 performs a person name search for acquiring a document including a person name included in the browsed document as a recommended document, or a zip code search for acquiring a document including a postal code included in the browsed document as a recommended document. As a search method, a place name search for acquiring a document including a place name included in a document as a recommended document, a connected word search for acquiring a document including two connected words included in a browsed document as a recommended document, and the like may be used. . For person name search, if you want to know the details of the person included in the reading document, for postal code search, if you want to know the address or location on the map specified by the postal code included in the reading document, place name search is for reading document If you want to check the location of the place name included in the map, or know the name of the person or organization indicated by the specific place name, the concatenated word search is useful when using compound words such as web services for the search. Further, the attribute of the recommended document is not limited to the above-described “type”, and any attribute may be used as long as it represents characteristics of the recommended document such as classification of document contents, the number of characters, and creation date and time.

  As described above, according to the information display system, the information display method, and the information display program according to the present invention, the user can determine the appropriateness of the recommended document and is useful as an information display system or the like. is there.

It is a figure which shows the structure of an information display system. It is a sequence diagram which shows operation | movement of an information display system. It is a figure which shows the structure of document management information. It is a figure which shows the structure of document specific information. It is a figure which shows the 1st example of a recommended document group overview image. It is a figure which shows the 2nd example of a recommended document group overview image. It is a figure which shows the 3rd example of a recommended document group overview image. It is a figure which shows the 4th example of a recommended document group overview image. It is a figure which shows the 5th example of a recommended document group overview image. It is a figure which shows the 6th example of a recommended document group overview image. It is a figure which shows the 7th example of a recommended document group overview image.

Explanation of symbols

10-1, 10-2 Client 12 User work area 14 Work monitoring unit 16 Recommended document notification processing unit 18 Recommended document overview processing unit 20 Document content display processing unit 22 Display 50 Server 52 Document DB
54 Document Search Unit 100 Information Display System 200 Network

Claims (7)

An information display system for displaying a recommended document obtained by searching a search target document included in a document source,
An acquisition means for acquiring document specifying information, which is information for specifying the recommended document, including an attribute representing characteristics of the search target document and a search method used for searching the search target document;
The attribute included in the document specifying information acquired by the acquisition unit in a predetermined display area preliminarily classified by the attribute representing the characteristics of the search target document and the search method used for searching the search target document; An information display system comprising display processing means for displaying an image indicating the presence of the recommended document at a position determined according to a search method.   The display processing unit indicates the presence of the recommended document according to the number of recommended documents having the same attribute and the search method when there are a plurality of recommended documents having the same attribute and the search method. The information display system according to claim 1, wherein an image is displayed.   In accordance with the number of recommended documents having the same attribute and the same search method, the display processing means has at least a size of an area of the image indicating the presence of the recommended document, a length in a predetermined direction, and a color density. The information presentation system according to claim 2, wherein either one is set.   The information display system according to claim 1, wherein the display processing unit displays an image indicating the presence of the recommended document in response to access to the recommended document. Monitoring means for monitoring the work of the user;
Searching means for searching for a search target document included in the document source based on a monitoring result of the user's work by the monitoring means, and obtaining a recommended document corresponding to the user's work. The information display system according to claim 1. An information display method for displaying a recommended document obtained by searching a search target document included in a document source,
An acquisition step for acquiring document specifying information that is information for specifying the recommended document, including an attribute representing characteristics of the search target document and a search method used for searching the search target document;
The attribute included in the document specifying information acquired by the acquisition step in a predetermined display area previously divided by the attribute representing the characteristics of the search target document and the search method used for searching the search target document, and An information display method comprising: a display processing step of displaying an image indicating the presence of the recommended document at a position determined according to a search method. An information display program executed on a computer for displaying a recommended document obtained by searching a search target document included in a document source,
An acquisition step for acquiring document specifying information that is information for specifying the recommended document, including an attribute representing characteristics of the search target document and a search method used for searching the search target document;
The attribute included in the document specifying information acquired by the acquisition step in a predetermined display area previously divided by the attribute representing the characteristics of the search target document and the search method used for searching the search target document, and An information display program comprising: a display processing step for displaying an image indicating the presence of the recommended document at a position determined according to a search method.

Images