JP6135327B2 - Information processing apparatus, document data organizing apparatus, document presentation method, and computer program - Google Patents

Description

  The present invention relates to an apparatus and method for handling documents.

  2. Description of the Related Art Conventionally, a technique for searching for a document using a word specified by a user as a search query (search key) has been widely used.

  In recent years, more and more document data is stored in both local computers and computers on the Internet. Therefore, a very large number of documents may be hit by the search. If there are many hit documents, the user must further narrow down documents necessary for the user from the hit documents.

  Therefore, the user is required to easily search for documents. Several methods are conceivable as methods for this purpose.

  For example, it is conceivable to classify documents in advance. Thereby, the range of search can be limited.

  A method of hierarchically classifying a plurality of similar documents among a large number of documents has been proposed (Patent Document 1).

  Further, a method has been proposed in which one of a plurality of documents having different versions is represented as a representative document in a search result (Patent Document 2).

JP 2004-318527 A JP 2006-127029 A

  However, some users may need to know only one of a plurality of similar documents, or may want to know the existence of all documents.

  The present invention has been made in view of such problems, and an object thereof is to present a plurality of documents that are similar to each other in accordance with user preferences.

  An information processing apparatus according to an aspect of the present invention is an information processing apparatus that notifies the existence of some or all of a plurality of similar documents, and includes a difference extraction unit that extracts differences between the plurality of documents. A condition suitability judging means for judging whether or not an interest keyword representing an item of interest to the user, which is stored in advance in the interest keyword storage means, is represented in the difference so as to satisfy a predetermined condition; If the interest keyword appears in the difference so as to satisfy the predetermined condition, the presence of all of the plurality of documents is presented; otherwise, the existence of a part of the plurality of documents Presence presenting means for preferentially presenting.

  Preferably, a search keyword receiving unit that receives a search keyword used as a search key is included, and the plurality of documents are searched based on the search keyword.

  Alternatively, the predetermined condition is that the keyword of interest appears at least once in the difference. Alternatively, the interest keyword storage means stores a plurality of the interest keywords, and a score is given to each of the plurality of interest keywords, and the predetermined condition is that each of the interest keywords The sum of the products of the number of times represented by the difference and the score is equal to or greater than a threshold value. Alternatively, the interest keyword storage means stores a plurality of pairs of words as the interest keyword, and a score is given to each of the plurality of pairs, and the predetermined condition is: The sum of the product of the number of times that appears in the difference and the score of each pair is equal to or greater than a threshold value.

  Alternatively, the presence presenting means displays a part of the plurality of documents and a part of the identifier when the interested keyword is not represented in the difference so as to satisfy the predetermined condition. However, the remaining identifiers are preferentially presented by not displaying them. Alternatively, if the interest keyword is not represented in the difference so that the predetermined keyword satisfies the predetermined condition, the presence presenting means leaves a part of the plurality of documents as a remaining identifier. It is presented preferentially by displaying it conspicuously than the identifier.

  Or, when the interested keyword is not represented in the difference so as to satisfy the predetermined condition, the data of the document preferentially presented by the presence presenting means among the plurality of documents is left, and the others A document data organizing unit that performs processing for deleting document data;

  According to the present invention, a plurality of documents that are similar to each other can be presented in accordance with the user's preference as compared with the related art.

It is a figure which shows the example of the whole structure of a document management system. It is a figure which shows the example of the hardware constitutions of a user computer. It is a figure which shows the example of a functional structure of a user computer. It is a figure which shows the example of an interest keyword input screen. It is a figure which shows the example of personal profile data. It is a figure which shows the example of a user code input screen. It is a figure which shows the example of a search keyword input screen. It is a figure which shows the example of two similar documents. It is a figure which shows the example of a difference. It is a flowchart explaining the example of the flow of an interest presence determination process. It is a flowchart explaining the example of the flow of a search result presentation process. It is a figure which shows the example of a search result screen. It is a figure which shows the example of a search result screen. It is a figure which shows the example of a search result screen. It is a figure which shows the example of a search result screen in case there are two groups of similar documents. It is a flowchart explaining the example of the flow of a search process. It is a figure which shows the example of a similar document and a difference. It is a figure which shows the example of personal profile data. It is a flowchart explaining the modification of the flow of an interest presence determination process. It is a figure which shows the example of a difference. It is a figure which shows the example of personal profile data. It is a flowchart explaining the modification of the flow of an interest presence determination process. It is a figure which shows the example of a similar document. It is a flowchart explaining the modification of the flow of a search process. It is a figure which shows the example of a difference. It is a flowchart explaining the example of the flow of a 2nd search result presentation process. It is a figure which shows the example of a search result screen. It is a figure which shows the modification of a functional structure of a user computer. It is a figure which shows the modification of a search result screen.

  FIG. 1 is a diagram illustrating an example of the overall configuration of the document management system 1. FIG. 2 is a diagram illustrating an example of a hardware configuration of the user computer 2. FIG. 3 is a diagram illustrating an example of a functional configuration of the user computer 2.

  The document management system 1 in FIG. 1 is a system for managing various information, in particular, a document (document) and providing it to a user. The document management system 1 is installed in an organization such as a company, a government office, or a school, and is used by members of the organization. Hereinafter, a case where the document management system 1 is used in a certain company will be described as an example. Therefore, employees of this company are users of the document management system 1. Each user is given one user code, which is a unique ID (identification).

  The document management system 1 includes a plurality of user computers 2, a document server 3, a communication line 4, and the like. Each user computer 2 and document server 3 can communicate via a communication line 4. As the communication line 4, the Internet, a so-called LAN (Local Area Network) line, a public line, a dedicated line, or the like is used.

  The document server 3 stores document data 50 of documents shared by a plurality of employees (users) of this company. Then, document data 50 is provided in response to a request from the user computer 2. Hereinafter, for the sake of simplicity of explanation, a case where access restriction to the document data 50 is not set will be described as an example.

  As the document server 3, a commercially available document management server is used. NAS (Network Attached Storage) may be used. As a format of the document data 50, a text format or PDF (Portable Document Format), a format of an application for creating a document, and the like are used.

  The user computer 2 is a computer for the user to access the document data 50 stored in the document server 3. As the user computer 2, a personal computer, a tablet computer, a smartphone, or the like is used. Hereinafter, a case where a personal computer is used as the user computer 2 will be described as an example.

  As shown in FIG. 2, the user computer 2 includes a CPU (Central Processing Unit) 20a, a RAM (Random Access Memory) 20b, a ROM (Read Only Memory) 20c, a mass storage device 20d, a touch panel display 20e, a keyboard 20f, and a pointing device. 20g and NIC (Network Interface Card) 20h.

  The touch panel display 20e displays a screen for giving a message to the user, a screen showing a result of processing, a screen for the user to input a command, and the like. The touch panel display 20e detects the touched position and notifies the CPU 20a of the position.

  The keyboard 20f and the pointing device 20g are used by the user to input commands and conditions.

  The NIC 20h communicates with a device such as the document server 3 using a protocol such as TCP / IP.

  The mass storage device 20d stores search software 2P1. A plurality of document data 50 is stored in a specific directory of the large-capacity storage device 20d. Hereinafter, this specific directory is referred to as “local document database 2B1”.

  The search software 2P1 is software for searching for documents in which the document data 50 is stored in the document server 3 or the local document database 2B1. According to the search software 2P1, the personal profile data generation unit 201, personal profile data storage unit 202, user code reception unit 203, search keyword reception unit 204, document search unit 205, similar document selection unit 206, difference extraction unit shown in FIG. Functions such as 207, interest presence / absence determination unit 208, and search result presentation unit 209 are realized.

  Next, details of the personal profile data generation unit 201 or the search result presentation unit 209 of the user computer 2 shown in FIG. 3 will be described with reference to FIGS.

[Preparation before search work]
FIG. 4 is a diagram illustrating an example of the interest keyword input screen 61. FIG. 5 is a diagram illustrating an example of the personal profile data 52.

  The personal profile data generation unit 201 generates personal profile data 52 for each user in advance. The personal profile data 52 indicates a user's profile. In the present embodiment, in particular, a word representing the user's interest is indicated as an interest keyword. The personal profile data generation unit 201 generates the personal profile data 52 as follows, for example.

  When the profile creation mode is selected by the user, the personal profile data generation unit 201 displays an interesting keyword input screen 61 as shown in FIG. 4 on the touch panel display 20e. Here, the user inputs his / her user code. In addition, enter words that represent things you are interested in. If there are multiple words, enter them one by one separated by commas. Then, press the “OK” button.

  Then, the personal profile data generation unit 201 generates personal profile data 52 indicating the input user code and word.

  The personal profile data 52 is stored in the personal profile data storage unit 202. Thus, personal profile data 52 for each user is stored in the personal profile data storage unit 202 as shown in FIG.

[Process during search]
FIG. 6 is a diagram illustrating an example of the user code input screen 62. FIG. 7 is a diagram illustrating an example of the search keyword input screen 63. FIG. 8 is a diagram illustrating an example of two similar documents 7A1 and 7A2. FIG. 9 is a diagram illustrating an example of the differences 7B1 and 7B2. FIG. 10 is a flowchart illustrating an example of the flow of interest presence / absence determination processing. FIG. 11 is a flowchart for explaining an example of the flow of search result presentation processing.

  The user code receiving unit 203 performs a process for receiving a user code of a user who instructs a search as follows.

  When the search mode is selected by the user, the user code receiving unit 203 displays a user code input screen 62 as shown in FIG. 6 on the touch panel display 20e. Here, the user inputs his / her user code and presses an “OK” button.

  Then, the user code reception unit 203 receives the input user code as the user code of the user who instructs the search.

  Alternatively, when user authentication has already been successful and the user is currently logged in to the user computer 2, the user code receiving unit 203 makes an inquiry to the operating system instead of receiving the user code on the user code input screen 62. You may get it.

  When the user code is received by the user code receiving unit 203, the search keyword receiving unit 204 performs a process for receiving a phrase (hereinafter referred to as “search keyword”) as a search key (search query). Do as follows. The search keyword receiving unit 204 displays a search keyword input screen 63 as shown in FIG. 7 on the touch panel display 20e. Here, the user inputs a word / phrase as a search keyword and presses a “search” button.

  Then, the search keyword receiving unit 204 receives the input word / phrase as a search keyword.

  The document retrieval unit 205 retrieves a document including the accepted search keyword from the document in which the document data 50 is stored in the local document database 2B1 and the document in which the document data 50 is stored in the document server 3. The search can be performed by a known method. Note that the search from the document of the document server 3 may be performed by notifying the document server 3 of the search keyword and causing the document server 3 to execute the search keyword. Then, the user computer 2 may acquire the document data 50 of the found (hit) document from the document server 3.

  When a plurality of documents are found by the document search unit 205, the similar document selection unit 206 selects similar documents (hereinafter referred to as “similar documents”) from these documents. Selection of similar documents can be performed by a known method. For example, if the number of matching characters in two or more documents is equal to or greater than a predetermined number, these documents are selected as similar documents. Alternatively, as described in Japanese Patent Application Laid-Open No. 2004-318527, the similarity between two or more documents is calculated, and if the similarity is equal to or greater than a predetermined value, these documents are selected as similar documents. May be.

  The difference extraction unit 207 extracts differences from a plurality of similar documents selected by the similar document selection unit 206. The extraction of the difference may be performed by a known method.

  For example, when two similar documents 7A1 and 7A2 shown in FIG. 8 are selected, the difference extraction unit 207 extracts the differences 7B1 and 7B2 shown in FIG.

  The interest determination unit 208 determines whether or not the user is interested in a plurality of similar documents selected by the similar document selection unit 206. This process is executed, for example, according to the procedure shown in FIG.

  The interest determination unit 208 reads the personal profile data 52 indicating the user code received by the user code reception unit 203 from the personal profile data storage unit 202 (see FIG. 5) (# 801 in FIG. 10). It is checked whether any of the differences extracted by the difference extraction unit 207 includes the interest keyword indicated in the personal profile data 52 (# 802). If it is included (Yes in # 803), it is determined that the user is interested in the similar document (# 804). If it is not included (No in # 803), it is determined that there is no interest (# 805).

  For example, when the differences 7B1 and 7B2 shown in FIG. 9 are extracted as the differences between the two similar documents 7A1 and 7A2 shown in FIG. 8, and “technology, material, composition, temperature” is shown in the personal profile data 52 Since the interest keyword “temperature” is included in the difference 7B2, it is determined that the similar documents 7A1 and 7A2 are interested. On the other hand, if “commodity, sales, needs, popularity” is indicated in the personal profile data 52, no interest keyword is included in the difference 7B1 or 7B2, so it is determined that there is no interest.

  When three or more similar documents are selected, a difference may be extracted from each of these similar documents. Then, if any interest keyword is included (represented) in any difference, it may be determined that there is interest. The “difference” of a certain similar document means a portion different from any other similar document.

  The search result presentation unit 209 presents the search result by the document search unit 205, that is, the found document. This process is executed, for example, according to the procedure shown in FIG.

  The search result presentation unit 209 determines the arrangement of the document names of the documents found by the document search unit 205 as follows. For the similar documents selected by the similar document selection unit 206 (Yes in # 811 in FIG. 11), if the user presence / absence determination unit 208 determines that the user is interested (Yes in # 812), the respective similarities are selected. The document names of the documents are arranged equally (same column, same rank) (# 813). However, if it is determined that there is no interest (No in # 812), one of these similar documents is selected as a representative, and the document name is preferentially arranged (# 814). Examples of preferential placement and examples of representative selection will be described later.

  On the other hand, the document names of documents that are not selected by the similar document selection unit 206 (hereinafter referred to as “dissimilar documents”) (Yes in # 815) are arranged in the same manner as the document names of other documents ( # 816).

  Then, the search result screen 64 in which the document names are arranged as described above is displayed on the touch panel display 20e (# 817).

  Note that the data name (file name) of the document data 50 may be displayed instead of the document name. Alternatively, the data name may be displayed together with the document name. Further, it may be displayed together with the storage location of the document data 50.

  12 to 14 are diagrams showing examples of the search result screen 64. FIG. 15 is a diagram showing an example of the search result screen 64 when there are two groups of similar documents.

  Here, by the processing of the document search unit 205 and the similar document selection unit 206, a document with a document name “AAAAAA1” and a document with a document name “AAAAA2” are found as similar documents, and a document name “BBBBB” is as a dissimilar document. The preferential arrangement method will be described by taking as an example the case where the above document is found.

  When the interest presence / absence discriminating unit 208 discriminates that there is no interest in similar documents, the search result presenting unit 209 displays, for example, as shown in FIG. Arrange document names equally. Among similar documents, document names other than the representative are removed at this point. An icon 64c is arranged immediately after the document name of the similar document. When the icon 64c is pressed, the interest determination unit 208 adds a new indent to the search result screen 64 with the document names of the remaining (non-representative) similar documents as shown in FIG. (Indented) and placed again.

  In the examples of FIGS. 12A and 12B, the order of the representative document name of the similar document and the document name of the dissimilar document may be arbitrarily determined. For example, it may be in descending or ascending order of the alphabet. Alternatively, the creation date may be in descending order or ascending order. From the beginning, the search result screen 64 may be displayed with the document names of similar documents other than the representative arranged at the lower position as shown in FIG. The font size of the document name of the lower similar document may be smaller than the font size of the representative document name.

  On the other hand, if the interest determination unit 208 determines that the similar document is interested, the search result presentation unit 209 arranges the document names of all similar documents and dissimilar documents equally as shown in FIG. To do. In this case as well, the order of document names may be determined arbitrarily.

  Alternatively, when it is determined that there is no interest in similar documents, the search result presentation unit 209 displays an icon 64s representing a set of a plurality of similar documents and a representative document name, as shown in FIG. An icon 64t1 representing a dissimilar document and its document name may be arranged. When the icon 64s is pressed, the icons 64t2 and 64t3 of the similar documents may be arranged together with the document names as shown in FIG. 14B.

  Further, the search result presentation unit 209 may select representatives of similar documents as follows. For example, the latest creation date may be selected as a representative. Alternatively, the latest update date may be selected. Alternatively, the one having the highest number of accesses may be selected. Alternatively, the character having the largest number of characters may be selected. There may be two or more representatives. In particular, when there are many similar documents, several of them may be selected as representatives.

  When a document name or an icon is selected on the search result screen 64, the user computer 2 reads the document data 50 corresponding to the document name or icon from the local document database 2B1 or the document server 3 as usual, and opens it with a predetermined application.

  Multiple sets of similar documents may be selected. In this case, the interest presence / absence determining unit 208 and the search result presenting unit 209 may perform processing as follows.

  The interest presence / absence discriminating unit 208 discriminates whether or not there is an interest in each set of similar documents. The search result presentation unit 209 determines whether the representatives are preferentially arranged according to the determination result by the interest presence determination unit 208 or all of the similar documents in each set, and the search result screen 64 is displayed. To do.

  For example, a set of similar documents with document names “AAAAAA1” and “AAAAAA2” and a set of similar documents with document names “CCCCC1” and “CCCCC2” are selected, respectively, and which set of similar documents If a document “BBBBB” that is not similar to the above is selected, the following processing is performed. The interest presence / absence determination unit 208 determines the presence / absence of interest for each of the two sets. The search result presentation unit 209 equally arranges the document names of similar documents as shown by the alternate long and short dash line in FIG. 15A or FIG. For groups that are not of interest, representative document names are preferentially arranged as shown by the two-dot chain line.

  FIG. 16 is a flowchart illustrating an example of the flow of search processing. Next, the overall processing flow of the user computer 2 will be described with reference to the flowchart of FIG.

  The user computer 2 receives the user code of the user who is the searcher (# 11 in FIG. 16) and receives the search keyword (# 12). A document including the search keyword is searched from each of the local document database 2B1 and the document server 3 (# 13), and a plurality of similar documents (similar documents) are selected (# 14).

  If a similar document can be selected, the user computer 2 extracts a difference between similar documents (# 15), and determines whether or not the user is interested in the similar document (# 16). The determination method is as described in FIG.

  Then, the user computer 2 generates and displays the search result screen 64 (see FIGS. 12 to 14) by arranging the document names of the respective documents based on the processing results of steps # 13 to # 16 (#). 17). The procedure of this process is as described in FIG.

  According to the present embodiment, a plurality of documents (similar documents) similar to each other can be presented in accordance with the preference of each user as compared with the related art. For example, if the user is a technical profession, technical words are registered as interest keywords, so if similar documents are technical, there is a strong tendency to present them all. However, if the user is a sales person, only technical representative documents are more likely to be presented.

  Next, modified examples of the processing of each unit of the user computer 2 shown in FIG. 3 will be sequentially described with reference to FIGS.

[Variation of personal profile data generation and management]
In the above-described embodiment, the personal profile data generation unit 201 acquires the interest keyword by causing the user to input the interest keyword via the interest keyword input screen 61 (see FIG. 4), and the personal profile data 52 (see FIG. 5). Generated. However, you may acquire by another method.

  For example, the personal profile data generation unit 201 analyzes words and the number of appearances from each document accessed by the user in the past. Then, a word whose number of appearances is a predetermined number or more is selected as an interest keyword, and personal profile data 52 is generated. Alternatively, the personal profile data 52 may be generated by selecting a predetermined number of words as an interest keyword in descending order of appearance.

  The personal profile data 52 may be centrally managed in the document server 3 or other servers and shared by a plurality of user computers 2. In this case, the interest determination unit 208 of the user computer 2 may notify the server of the user code received by the user code reception unit 203 and download the personal profile data 52 indicating this from the server.

[Modification of difference extraction]
FIG. 17 is a diagram illustrating examples of similar documents 7C1 and 7C2 and differences 7E1 and 7E2.

  In the above-described embodiment, as illustrated in FIGS. 8 and 9, the difference extraction unit 207 extracts a difference in units of characters. However, when extracted in this unit, only a small difference may be obtained depending on similar documents. For example, from the two similar documents 7C1 and 7C2 shown in FIG. 17A, only the differences 7D1 and 7D2 composed of character strings of several characters are extracted as differences. In this case, the interest presence / absence determination unit 208 may not be able to sufficiently match the interest keyword, and may not be able to determine adequately whether the user is interested in the similar document.

  Therefore, the difference extraction unit 207 may extract the difference in a slightly larger unit. For example, you may extract by the unit of a sentence (sentence). In this case, the differences 7E1 and 7E2 are extracted from the similar documents 7C1 and 7C2 in FIG. 17A as shown in FIG. Or you may extract by the unit of a paragraph. Or you may extract in the unit of the character string from a sentence head or one reading point to the next reading point or a phrase. Alternatively, the difference may be extracted in units of characters, and the range of matching with the keyword of interest may be expanded to a predetermined range before and after the difference (for example, a range of 30 characters before and after the difference).

[First modified example of determination of interest in similar documents]
FIG. 18 is a diagram illustrating an example of the personal profile data 53. FIG. 19 is a flowchart illustrating a modified example of the flow of interest presence / absence determination processing. FIG. 20 is a diagram illustrating an example of the differences 7F1 and 7F2.

  In the above-described embodiment, the interest presence / absence determination unit 208 determines whether or not a user is interested in a similar document, and only whether or not the user's interest keyword (see FIG. 5) is included in the difference between any similar documents. Was determined. In order to more accurately determine the presence or absence of interest, the determination may be made as follows.

  Instead of the personal profile data 52, personal profile data 53 as shown in FIG. 18 is stored in the personal profile data storage unit 202. In the personal profile data 53, as in the personal profile data 52, words of matters that the user is interested in are shown as interest keywords together with the user code. Furthermore, the personal profile data 53 shows a point representing importance or depth of interest for the user for each interest keyword. The score may be given by the user or may be determined based on the number of appearances in each document accessed by the user in the past.

  An interest presence / absence determination unit 208 determines the presence / absence of interest in a similar document by using the personal profile data 53 instead of the personal profile data 52. Here, the determination method will be described with reference to FIG.

  The interest determination unit 208 reads the personal profile data 53 indicating the user code received by the user code reception unit 203 from the personal profile data storage unit 202 (# 821 in FIG. 19). It is checked whether or not the interest keyword indicated in the personal profile data 53 is included in the difference extracted by the difference extraction unit 207 of the similar document selected by the similar document selection unit 206. Each appearance count is counted (# 822).

  When an interest keyword is included (Yes in # 823), the interest presence / absence determination unit 208 calculates the sum of products of the number of appearances of each interest keyword and the point indicated in the personal profile data 53 as the importance ( # 824). If the calculated importance is equal to or greater than the threshold α (Yes in # 825), it is determined that there is an interest in a similar document (# 826). If it is less than the threshold α (No in # 826), it is determined that there is no interest in similar documents (# 827). If no interest keyword is included (No in # 823), it is determined that there is no interest in similar documents (# 827).

  For example, when the difference between two similar documents is the difference 7F1 and 7F2 shown in FIG. 20 and the threshold value α is “8.0”, using the personal profile data 53 of FIG. Appears four times and “temperature” appears three times, so that 4.0 × 4 + 3.0 × 3 = 25.0 is calculated as the importance. Therefore, “interested” is determined. On the other hand, when the personal profile data 53 of FIG. 18C is used, “temperature” appears three times, so that 2.0 × 3 = 6.0 is calculated as the importance. Therefore, it is determined that there is no interest.

  In step # 824, an average value of products may be calculated as the importance instead of the total value of products. The same applies to the second modification described below.

[Second modification of determination of interest in similar documents]
FIG. 21 is a diagram illustrating an example of the personal profile data 54. FIG. 22 is a flowchart illustrating a modified example of the flow of interest presence / absence determination processing.

  In view of the relevance between keywords, the user's interest in similar documents may be determined as follows.

  Instead of the personal profile data 52, personal profile data 54 as shown in FIG. 21 is stored in the personal profile data storage unit 202. In the personal profile data 54, along with the user code, a pair of two words representing an item that the user is interested in is shown as an interest pair keyword. Furthermore, the personal profile data 54 indicates points representing importance or depth of interest for the user for each interest pair keyword. Or you may show the score showing the depth of relevance of two words which comprise an interest pair keyword.

  The user may input the interest pair keyword and its score individually in advance. Alternatively, it may be obtained by searching for a combination of two words from a predetermined unit block (for example, one sentence or one paragraph) of each document accessed by the user in the past and counting the number of appearances. .

  The interest presence / absence determination unit 208 determines the presence / absence of interest in the similar document by using the personal profile data 54 instead of the personal profile data 52. Here, the determination method will be described with reference to FIG.

  The interest determination unit 208 reads the personal profile data 54 indicating the user code received by the user code reception unit 203 from the personal profile data storage unit 202 (# 831 in FIG. 22). It is checked whether or not the interest pair keyword indicated by the personal profile data 54 is included in the difference extracted by the difference extraction unit 207 of the similar document selected by the similar document selection unit 206. The number of appearances of each pair keyword is counted (# 832).

  “Interested pair keyword is included in the difference” means that two words related to the interested pair keyword may be included in any position in one difference, but the positions of both words are equivalent. When separated, it may be difficult to recognize that both words are a pair. Therefore, when both words are included in the same sentence (sentence), the interest pair keyword may be included in the difference.

  When the interest pair keyword is included (Yes in # 833), the interest presence / absence determination unit 208 calculates the sum of the products of the number of appearances of each interest pair keyword and the score indicated in the personal profile data 54 as the importance. (# 834). If the calculated importance is equal to or greater than the threshold β (Yes in # 835), it is determined that there is an interest in a similar document (# 836). If it is less than the threshold β (No in # 835), it is determined that there is no interest in similar documents (# 837). If no interest pair keyword is included (No in # 833), it is determined that there is no interest in similar documents (# 837).

  In this modification, two words are made into one pair, but three or more words may be made into one pair.

[Variation when there are three or more similar documents]
FIG. 23 is a diagram illustrating an example of similar documents 7G1 to 7G3. FIG. 24 is a flowchart illustrating a modified example of the flow of search processing. FIG. 25 is a diagram illustrating an example of the differences 7H1 and 7H2 and the differences 7J2 and 7J3. FIG. 26 is a flowchart illustrating an example of the flow of the second search result presentation process. FIG. 27 is a diagram illustrating an example of the search result screen 64.

  A set of similar documents may have the same base but different versions (versions, editions). In other words, there is a so-called version difference. For example, the first of three similar documents is a draft version (first version), the second is a revised version (second version), and the third is an official version (third version). This is the case. Note that the version difference can be understood by referring to the property of the document data 50 of each similar document. For example, if the titles are the same but the version numbers are different, it can be determined that the versions are different. Alternatively, an inquiry may be made to a system that manages the version (for example, a system described in Japanese Patent Application Laid-Open No. 2006-127029).

  If there are three or more similar documents in one set and these similar documents are of different versions, the presence or absence of interest is discriminated between two similar documents whose versions are adjacent to each other. Only the document names of similar documents may be presented with priority. Hereinafter, this modification will be described with reference to the flowchart of FIG. 24 and the like, taking as an example the case where the three similar documents 7G1, 7G2, and 7G3 shown in FIG. 23 are selected by the similar document selection unit 206. The similar documents 7G1, 7G2, and 7G3 are the first version, the second version, and the third version, respectively.

  Each part of the user computer 2 accepts a user code and a search keyword (# 21 and # 22 in FIG. 24), searches for a document (# 23), and selects a similar document, as in steps # 11 to # 14 in FIG. (# 24). In these processes, the above-described modifications may be used.

  When three or more similar documents are selected as one set, the difference extraction unit 207 extracts two differences for each pair by using two similar documents whose versions are adjacent to each other. Whether or not each pair is interested is determined (# 25 to # 28). The method for determining whether there is interest is as described with reference to FIG. Or you may use the above-mentioned modification. The above-described modification may also be used for difference extraction.

  In the example of FIG. 23, differences 7H1 and 7H2 are extracted from a pair of similar documents 7G1 and 7G2 as shown in FIG. Further, for the pair of similar documents 7G2 and 7G3, differences 7J2 and 7J3 are extracted as shown in FIG.

  Then, the search result presentation unit 209 displays the search result screen 64 on the touch panel display 20e based on the results of Steps # 23 to # 28 (# 29). The display process is performed according to the procedure shown in FIG.

  The search result presenting unit 209 determines that among the similar documents 7G1 to 7G3 (Yes in # 841), a similar document that has been determined at least once in Step # 26 when interested (Yes in # 842). Is given a higher priority (# 843).

  For example, when the similar document 7G2 is determined as “no interest” in the determination process for the pair with the similar document 7G1, but is determined as “interested” in the determination process for the pair with the similar document 7G3, A higher priority is given to the similar document 7G2.

  On the other hand, for similar documents that have never been identified as being interested (No in # 842), the search result presentation unit 209 gives a lower priority (# 844).

  Then, the search result presentation unit 209 preferentially arranges the document names of similar documents with higher priority among the similar documents 7G1 to 7G3 (# 845). When there are a plurality of such similar documents, the document names are arranged equally. However, if the priority of all similar documents is lower, one representative is selected and the representative document name is preferentially arranged.

  The method of arranging the document names of dissimilar documents is the same as the method described with reference to FIG. That is, they are arranged in the same way as the document names of other documents (Yes in # 846, # 847).

  Then, the search result screen 64 in which the document names are arranged in this way is displayed on the touch panel display 20e (# 848).

  For example, the document names of the similar documents 7G1, 7G2, and 7G3 are “EEEEEE1”, “EEEEEE2”, and “EEEEEE3”, respectively. When the document name of the lower-order and dissimilar document is “DDDDD”, the search result presentation unit 209 displays the search result screen 64 in which the document names are arranged as shown in FIG. When the icon 64c is pressed, the search result screen 64 is displayed again by arranging the document name of the similar document 7G3 below the document names of the similar documents 7G1 and 7G2 as shown in FIG.

[Document organization (database cleansing)]
FIG. 28 is a diagram illustrating a modification of the functional configuration of the user computer 2. FIG. 29 is a diagram showing a modified example of the search result screen 64.

  The above-described embodiments and modifications are used to inform the user of the existence of a document that matches the search keyword, but can be applied to organize documents. Specifically, it is also used to leave only one of a plurality of similar documents (similar documents) and delete the other documents. Hereinafter, this mechanism will be described with reference to FIGS. 28 and 29. FIG.

  As shown in FIG. 28, a document data deletion unit 211 is further provided. The functions of the personal profile data generation unit 201 or the search result presentation unit 209 are basically the same as those in the above-described embodiment or modification.

  However, the document search unit 205 may limit the search range. For example, the document data 50 may be limited to documents stored in the local document database 2B1. Or you may limit to the document in which only the user for whom the user code was received by the user code reception part 233 is an owner. Alternatively, the search range may be specified by the user. Alternatively, when the document is classified in advance into one of several categories, the category selected by the user may be set as the search range.

  The search result presentation unit 209 displays the search result screen 64 based on the processing results of the document search unit 205, the similar document selection unit 206, and the interest presence / absence determination unit 208. FIG. 29A or FIG. And a message indicating that the document can be organized and a “delete” button are arranged.

  Here, when the user can delete the similar document determined by the interest determination unit 208 with no interest, leaving only the representative, the user presses a “delete” button.

  Then, the document data deletion unit 211 deletes the document data 50 of similar documents other than the representative among the similar documents determined not to be interested from the current storage location.

  The overall processing flow of the user computer 2 in the case of having a document organizing function is basically as described in FIG. 16 or FIG. However, when the user presses the “delete” button after step # 17 in FIG. 16 or step # 29 in FIG. 24, the user computer 2 executes the process of deleting the document data 50 of the similar document as described above. To do.

  As described above, the document data deleting unit 211 can cleanse similar documents in the maintenance of the local document database 2B1 or the document server 3.

  Note that the document data deletion unit 211 may execute the deletion process without displaying the search result screen 64. Alternatively, the search result presentation unit 209 displays the document names of similar documents as a list in a predetermined order (for example, the order in which many interesting keywords are included), and the document data deletion unit 211 selects the user from the list. Only the document data 50 of the document may be deleted.

  In addition, the configuration of the entire document management system 1 and user computer 2 or each unit, processing contents, processing order, data configuration, and the like can be appropriately changed in accordance with the spirit of the present invention.

2 User computer (information processing device, document data organizing device)
202 Personal profile data storage unit (interest keyword storage means)
204 Search keyword receiving unit (search keyword receiving means)
207 Difference extraction unit (difference extraction means)
208 Interest presence / absence discriminating section (condition suitability judging means)
209 Search result presentation unit (presentation means)
211 Document data deletion unit (document data organizing means, document data deleting means)
50 Document data 64 Search result screen

Claims (12)

An information processing apparatus that notifies the presence of some or all of a plurality of similar documents,
Difference extracting means for extracting differences between the plurality of documents;
A condition suitability judging means for judging whether or not an interest keyword representing an item of interest to the user, which is stored in advance in the interest keyword storage means, is represented in the difference so as to satisfy a predetermined condition;
If the interest keyword appears in the difference so as to satisfy the predetermined condition, the presence of all of the plurality of documents is presented; otherwise, the existence of a part of the plurality of documents Presence presenting means for preferentially presenting
An information processing apparatus comprising: Search keyword receiving means for receiving a search keyword used as a search key;
The plurality of documents are searched based on the search keyword.
The information processing apparatus according to claim 1. The predetermined condition is that the keyword of interest appears at least once in the difference.
The information processing apparatus according to claim 1 or 2. The interest keyword storage means stores a plurality of the interest keywords, and a score is given to each of the plurality of interest keywords.
The predetermined condition is that a sum of products of the number of times expressed in the difference and the score of each of the interested keywords is equal to or greater than a threshold value.
The information processing apparatus according to claim 1 or 2. The interest keyword storage means stores a plurality of pairs of words as the interest keyword, and a score is given to each of the plurality of pairs,
The predetermined condition is that the sum of the product of the number of times expressed in the difference and the score of each pair is equal to or greater than a threshold value.
The information processing apparatus according to claim 1 or 2. The presence presenting means displays the presence of a part of the plurality of documents, the identifier of the part, and the remainder when the interest keyword is not represented in the difference so as to satisfy the predetermined condition By preferentially presenting by not displaying the identifier of
The information processing apparatus according to any one of claims 1 to 5. When the interest keyword is not represented in the difference so that the predetermined keyword satisfies the predetermined condition, the presence presenting means indicates the presence of a part of the plurality of documents, the partial identifier as a remaining identifier, Present it preferentially by displaying it more prominently,
The information processing apparatus according to any one of claims 1 to 5. If the keyword of interest is not represented in the difference so as to satisfy the predetermined condition, the data of the document preferentially presented by the presence presenting means among the plurality of documents is left, and the other documents A document data organizing means for performing processing for deleting data;
The information processing apparatus according to claim 1. An information processing apparatus that notifies the presence of some or all of a plurality of similar documents,
Difference extracting means for extracting differences between the plurality of documents;
Determining whether or not an interest keyword that is stored in advance in the interest keyword storage means and represents an item that the user is interested in is represented in the difference or a predetermined range before and after the difference so as to satisfy a predetermined condition; A condition adequacy determination means;
If the keyword of interest appears in the difference or the predetermined range so as to satisfy the predetermined condition, the presence of all of the plurality of documents is presented; otherwise, out of the plurality of documents Presence presenting means for preferentially presenting the presence of a part of
An information processing apparatus comprising: A document data organizing apparatus for organizing data of a plurality of similar documents,
Difference extracting means for extracting differences between the plurality of documents;
A condition suitability judging means for judging whether or not an interest keyword representing an item of interest to the user, which is stored in advance in the interest keyword storage means, is represented in the difference so as to satisfy a predetermined condition;
When the interested keyword is not represented in the difference so as to satisfy the predetermined condition, a process is performed in which data of a part of the plurality of documents is left and data of the other documents is deleted. , Document data deletion means,
An apparatus for organizing document data. A document presentation method for notifying the existence of some or all of a plurality of similar documents,
On the computer,
Causing an extraction process to extract differences between the plurality of documents,
A determination process for determining whether or not an interest keyword representing an item of interest to the user, which is stored in advance in the interest keyword storage means, is represented in the difference so as to satisfy a predetermined condition;
If the interest keyword appears in the difference so as to satisfy the predetermined condition, the presence of all of the plurality of documents is presented; otherwise, the existence of a part of the plurality of documents , Preferentially present, execute the presentation process,
A document presentation method characterized by the above. A computer program used in a computer for informing the existence of some or all of a plurality of similar documents,
In the computer,
Causing an extraction process to extract differences between the plurality of documents,
A determination process for determining whether or not an interest keyword representing an item of interest to the user, which is stored in advance in the interest keyword storage means, is represented in the difference so as to satisfy a predetermined condition;
If the interest keyword appears in the difference so as to satisfy the predetermined condition, the presence of all of the plurality of documents is presented; otherwise, the existence of a part of the plurality of documents , Preferentially present, execute the presentation process,
A computer program characterized by the above.

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