JP2023125592A - Information processing system, information processing method, and program - Google Patents

Abstract

To provide a mechanism that enables efficient checking of search results.SOLUTION: An information processing system provided herein is configured to perform a document search using a search query specified by a user, perform control so as to display a search result, acquire characteristic words in a document from the searched document, and display the characteristic words in such a way that the characteristic words are identifiable as identified words.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing system, an information processing method, and a program.

As the number of digitized documents in companies increases, the importance of document search systems to efficiently search for documents necessary for business is increasing. Here, the document search system is a system that presents a user with a collection of documents related to search conditions input by the user. A typical example is one that has the function of inputting a search query as a character string and acquiring related documents based on the search keywords included in the search query.

In search systems, there is a technology that displays character strings around search keywords in search result documents, and further identifies the search keywords by highlighting them (highlight function). (words that differ from each other are called identification words).

The highlighting function allows users to efficiently find words of interest from multiple documents obtained as search results, and as a result, users can quickly understand which document is the one they are looking for. I can do it.

Non-Patent Document 1 discloses a highlight function in a document search system.

https://www. hitachi-systems. com/ind/srpartner/product/highlight/index. html

Non-Patent Document 1 discloses a function for highlighting and displaying keywords used in a search in a color specified by the user.

However, depending on the search method, there are problems such as the fact that the characteristics of the searched document cannot be efficiently grasped just by highlighting the keywords used in the search.

Therefore, an object of the present invention is to provide a mechanism that allows search results to be checked efficiently.

The information processing system of the present invention includes a search means for performing a document search using a search query specified by a user, a display control means for controlling display of the search results by the search means, and a display control means for controlling the display of the search results by the search means. Feature word acquisition means for obtaining a feature word in a document, and the display control means controls to display the feature word in the document searched by the search means in an identifiable manner as an identification word. do.

Further, the information processing system of the present invention includes a search means for performing a document search using a search query specified by a user, a display control means for controlling display of search results by the search means, and a search means for performing a search by the search means. a related word acquisition means for obtaining a related word that is a word related to the document searched for, and the display control means is capable of identifying the related word included in the document searched by the search means as an identification word. It is characterized by controlling to display.

According to the present invention, search results can be checked efficiently.

1 is a diagram showing an example of a system configuration of a document search system in an embodiment of the present invention. FIG. 1 is a block diagram showing an example of the hardware configuration of a document search system and a client terminal in an embodiment of the present invention. FIG. 3 is a diagram showing an example of a set of search target documents stored in a document DB in an embodiment of the present invention. It is a figure showing an example of data used as a search condition in an embodiment of the present invention. A diagram showing an example of data used as search results in an embodiment of the present invention FIG. 3 is a diagram showing an example of a priority rule table regarding a search result list in an embodiment of the present invention. FIG. 3 is a diagram showing an example of a priority rule table regarding search result details in an embodiment of the present invention. FIG. 3 is a diagram showing an example of an identification word candidate source table created by an identification word candidate creation unit in the embodiment of the present invention. FIG. 3 is a diagram showing an example of an identification word candidate table created by an identification word candidate creation unit in the embodiment of the present invention. It is a flowchart which shows the search process which a search processing part performs in embodiment of this invention. FIG. 2 is a flowchart showing identification word candidate creation processing performed by an identification word candidate creation unit in an embodiment of the present invention. FIG. It is a figure showing an example of a search result screen in an embodiment of the present invention. FIG. 6 is a diagram illustrating an example of a state in which identification word candidates are displayed on a search result screen in an embodiment of the present invention. FIG. 6 is a diagram showing an example of a state in which an identification word is selected on a search result screen in an embodiment of the present invention. FIG. 3 is a diagram illustrating an example of a state in which identification word candidates are displayed on a search result details screen in an embodiment of the present invention. FIG. 6 is a diagram illustrating an example of a state in which an identification word is selected on a search result details screen in an embodiment of the present invention.

Embodiments of the present invention will be described in detail below with reference to the drawings.

FIG. 1 is a diagram showing an example of the system configuration of a document search system 100 according to an embodiment of the present invention.

The document search system 100 includes a document registration device 110, a document DB 120, a document search device 130, and a characteristic word update device 140.

The document registration device 110 is a device for registering documents to be searched by a user, and includes a document receiving section 111, a keyword extraction section 112, and a document registration processing section 113.

The document receiving unit 111 is a functional unit for receiving a document to be registered. A user (client terminal) can send any document to the document receiving unit 111 through a web browser or the like. Alternatively, a configuration may be adopted in which a crawler mechanically collects and transmits documents.

The keyword extracting unit 112 is a functional unit for extracting keywords that are candidate feature words in the document and their frequency of appearance from the document received by the document receiving unit 111. Details of the characteristic words will be described later. The keyword extraction process in the keyword extraction unit 112 uses a known morphological analysis technique. Here, the morphemes to be extracted may be limited to specific parts of speech, such as proper nouns, depending on the purpose of the document search system. Alternatively, character strings matching a predetermined pattern may be extracted as keywords without using morphological analysis.

The document registration processing unit 113 is a device that associates the document received by the document reception unit 111 with the keyword extracted by the keyword extraction unit 112 and stores the linked document in the document DB 120.

The document DB 120 includes an area for storing a document ID for uniquely identifying a document, a document name, a text, a keyword: appearance frequency for storing a value extracted by the keyword extracting unit 112, and a characteristic word. FIG. 3 shows an example of data stored in the document DB 120. The method for creating characteristic words will be described later. The above five items are illustrated as an example of the configuration for explaining this idea, but additional items such as the URL indicating the location of the document, the size of the document, the author of the document, etc., to be used as a document search system can be added. You may prepare.

The document search device 130 includes a search processing unit 131, a search condition storage unit 132, a search operation storage unit 133, a search result storage unit 134, an identification word candidate creation unit 135, a priority rule table (search result list) 136, and priority rules. It consists of 137 tables (details of search results).

The search processing unit 131 is a functional unit that receives a search operation from a user, interprets the search operation, generates search conditions for querying the search DB, and searches the document DB 120 for documents that match the search conditions. Equipped with a function to retrieve documents related to conditions in order of score. Details of the search processing performed by the search processing unit 131 will be described later. Furthermore, the user can also send an identification word at the same time as sending a search operation to the search processing unit 131.

The search condition storage unit 132 is a functional unit that stores search conditions for searches performed by the user. As shown in FIG. 4, the search conditions consist of a "search query," "feature words of similar document search query," and a "keyword filter."

The search operation storage unit 133 is a functional unit that stores search operations for searches performed by the user. There can be at least three types of values stored in the search operation storage unit 133: "Search by search query," "Similar document search," and "Addition of keyword filter." Additionally, when you add a keyword filter, you can save the keyword string as additional information.

The search result storage unit 134 is a functional unit that stores search results of searches performed by the user. As shown in Figure 5, the search results include a "document list" that is a collection of documents that match the search conditions extracted from the document DB 120, a "related word" that is a list of words related to the search results, and a list of documents for each document ID in the document list. It consists of "snippets" that are extracted from the main text to be identified.

The search processing unit 131 updates the information stored in the search condition storage unit 132, search operation storage unit 133, and search result storage unit 134 every time a search process is executed.

The identification word candidate creation unit 135 performs an identification word candidate creation process to create an identification word candidate table as shown in FIG. The identification word candidate table is a table containing words and their priorities. The identification word candidate table creation process will be described later.

The priority rule table (search result list) 136 holds priority rules as shown in FIG. 6, which are used in the identification word candidate creation process regarding the search result list. Further, the priority rule table (search result details) 137 holds priority rules as shown in FIG. 7, which are used in the identification word candidate creation process regarding the search result details. How to use these tables will be explained in conjunction with the explanation of the identification word candidate table creation process. Note that values can be set in these priority rule tables by the system administrator when the document search system is constructed.

The feature word update device 140 is a device that extracts a characteristic keyword as a feature word for each document stored in the document DB and updates the record. Selection of feature words can be realized by using tf-idf, which is one of the indicators representing the feature amount of a word. The characteristic word updating device 140 acquires the appearance frequency of each word from the keyword: appearance frequency field in the document DB 120, and extracts a maximum of N keywords as characteristic words in descending order of tf-idf value. The value of N can be set by the system administrator when the document search system is constructed. For example, in the document DB 120 of FIG. 3, the feature words of document 1 are three items: "design", "screen", and "mobile".

In FIG. 1, an example has been described in which the document search system 100 is configured with three devices: the document registration device 110, the document search device 130, and the characteristic word update device 140, and the document DB 120. The document search system according to the invention is not limited to this configuration example, and may be a system in which one device has the functions provided by each device.

FIG. 2 is a block diagram showing an example of the hardware configuration of an information processing device applicable as the document search system 100 of the present invention and each device.

As shown in FIG. 2, the information processing device includes a CPU (Central Processing Unit) 201, a ROM (Read Only Memory) 202, a RAM (Random Access Memory) 203, a storage device 204, an input controller 205, An audio controller 206, a video controller 207, a memory controller 208, and a communication I/F controller 209 are connected.

The CPU 201 centrally controls each device and controller connected to the system bus 200.

The ROM 202 or external memory 213 stores a BIOS (Basic Input/Output System) and an OS (Operating System), which are control programs executed by the CPU 201, as well as computer-readable and executable programs and various necessary programs for realizing this information processing method. Holds data (including data tables).

The RAM 203 functions as the main memory, work area, etc. of the CPU 201. The CPU 201 loads necessary programs and the like from the ROM 202 or the external memory 213 into the RAM 203 when executing processing, and executes the loaded programs to realize various operations.

The input controller 205 controls input from input devices such as a keyboard 210 and a pointing device such as a mouse (not shown). If the input device is a touch panel, the user can issue various instructions by pressing (touching with a finger or the like) an icon, cursor, or button displayed on the touch panel.

Further, the touch panel may be a touch panel capable of detecting positions touched by multiple fingers, such as a multi-touch screen.

Video controller 207 controls display on an external output device such as display 212. The display shall also include the display of a notebook computer that is integrated with the main body. Note that the external output device is not limited to a display, but may be a projector, for example. Furthermore, an input device is also provided for the device capable of accepting the above-mentioned touch operation.

Note that the video controller 207 can control a video memory (VRAM) for display control, and can use a part of the RAM 203 as a video memory area, or can provide a separate dedicated video memory. It is possible.

Memory controller 208 controls access to external memory 213. External memory can be an external storage device (hard disk) that stores boot programs, various applications, font data, user files, editing files, various data, etc., a flexible disk (FD), or a PCMCIA card slot connected via an adapter. Compact flash (registered trademark) memory and the like can be used.

The communication I/F controller 209 connects and communicates with external devices via a network, and executes communication control processing on the network. For example, communication using TCP/IP, a telephone line such as ISDN, a 4G line, a 5G line of a mobile phone, etc. is possible.

Note that the CPU 201 enables display on the display 212 by, for example, executing an outline font development (rasterization) process in a display information area in the RAM 203. Further, the CPU 201 allows the user to give instructions using a mouse cursor (not shown) on the display 212.

Next, a search process executed by the search processing unit 131 when receiving a search request from a client terminal in the embodiment of the present invention will be described using the flowchart of FIG.

First, in step S1001, one search condition is created by combining the search condition included in the search operation received from the client and the search condition stored in the search condition storage unit 132.

As shown in FIG. 4, the search conditions include a "search query", "feature words of similar document search query", and "keyword filter". As shown in FIG. 4, the search query is a keyword. A full text search is performed on the main texts of documents registered in the document DB 120 using search conditions including a search query.

The characteristic words of the similar document search query are used as search conditions in a similar document search in which a user sends a document in hand to the document search system 100, and the document search system 100 retrieves a document similar to the document from the search DB. It is a keyword. When a document is received from a user, the document search system 100 finds characteristic words in the document from statistical values such as tf-idf and automatically extracts them as characteristic words. Through search processing using search conditions that include the characteristic words of the similar document search query, documents for which the match rate between the keywords of documents registered in the document DB and the characteristic words of the similar document search query are equal to or higher than a threshold value are acquired.

A keyword filter is a narrowing condition that includes keywords. Through search processing using search conditions including this, only documents containing the keyword are searched from the document DB.

From search conditions that include multiple types of "search query", "feature words of similar document search query", and "keyword filter", the final document list of search results can be obtained by taking the AND condition of each condition. It's decided.

For example, suppose that a search operation such as "operation type: search by search query, search query: 'product At this time, a search condition in which the search query is "product X specifications" is generated. Then, in a later process, the search condition "Search query: 'Product X specifications'" is stored in the search condition storage unit 132.

After that, assume that an additional search operation of "Operation type: Add keyword filter, Keyword: 'Screen'" is received from the user. At this time, the search condition "Search query: 'Product Search conditions such as ``Product X Specifications'' and ``Keyword Filter: ``Screen'''' are generated.

In step S1002, documents matching the search conditions are searched from the document DB 120, and the searched documents are arranged in descending order of score, which is a value indicating the extent to which the search conditions are matched. In order to realize efficient search processing, the document registration processing unit 113 may create a transposed index using a known technique and use it during the search.

In step S1003, related words in the search results are obtained. Some of the keywords included in the retrieved document are used as related words. As a specific method for acquiring related words, for example, keywords that are commonly included in about half of the searched documents are selected. With this selection method, when documents with multiple topics coexist in the retrieved documents, it can be expected that related words will be selected to appropriately divide the topics.

In step S1004, the search condition storage unit 132 is updated with the generated search conditions, and the search operation storage unit 133 is updated with the search operation received from the user.

In step S1005, the process branches depending on whether the user has presented (specified) an identification word. If an identification word has been presented, it is used as the identification word and the process proceeds to step S1010. If it has not been presented, the process advances to step S1006.

In step S1006, the process branches depending on whether the document search system is in the identification word simple selection operation mode. The system administrator of the document retrieval system can set whether the operation mode is the simple identification word selection mode. If the operation mode is simple selection, the process advances to step S1007, and if the operation mode is not simple selection, the process advances to step S1008.

If it is the identification word simple selection mode (step S1006: YES), in step S1007, words are extracted by space separation from the search query stored in the search condition storage unit and used as identification words.

If it is not the identification word simple selection mode (step S1006: NO), in step S1008, the identification word candidate creation unit is caused to perform identification word candidate creation processing, and the result is received. The identification word candidate creation process will be described later. As a result, an identification word candidate table having words and priorities as shown in FIG. 9 can be obtained.

In step S1009, a word that satisfies a predetermined condition (for example, a word in the top N priorities, a word with a priority equal to or higher than a threshold value, etc.) is selected as an identification word from the identification word candidate table. Here, N is a constant defined in the document search system 100.

Users may be accustomed to highlighting words in search queries, so system administrators can configure the document retrieval system to operate in the quick identification word selection mode. The words in the search query are now highlighted, creating a behavior that feels natural to users.

On the other hand, if the system administrator wants to highlight words that are likely to be more interesting to the user, the system administrator can also set the document search system to perform identification word candidate creation processing.

In step S1010, character strings around the identified word are extracted as snippets from the text of each document obtained as a search result. N characters before and after the identification word can be used as the surrounding character string. Here, N is a constant defined in the document search system 100.

Further, the identification word portion of the extracted snippet is surrounded by an identification display tag so that the identification word portion can be identified and displayed on the client terminal. Methods of identification include displaying identification words in bold, using a font different from other text strings, displaying them in color with markers, and displaying text in a different font color from other text strings. Any display method may be used as long as the identification word can be identified.

In order to efficiently extract snippets, the position of the identified word within the text can be obtained using a known technique, inverted index.

If there are a plurality of identification words, a string of the extraction results of each identification word and surrounding context can be combined and used as a snippet.

For example, on the search screen shown in FIG. 12, the user has not explicitly specified an identification word, the search query 1201 is set to "product The characteristic words "Y", "specifications", and "screen" are set, and the keywords "screen" and "mobile" are set in the keyword filter 1203. Note that the keyword filter is displayed on the screen with the label "Narrowing down conditions". Here, if the operation mode for simple selection of identification words is Yes in step S1006, two words "product X" and "specification" are selected as identification words in step S1007. At that time, the search processing unit extracts the snippet "The specifications of the management screen of product X are as follows" from the main text as the surrounding context of "product X" and "specifications" in the first document of the search results. do. Furthermore, "Product X" and "Specifications" are surrounded by identification tags. As a result, on the client terminal, the first document in the search results contains a snippet consisting of two texts: "The specifications of the management screen for product X are as follows" and "The specifications of the management screen are as follows." "Product X" and "Specifications" are displayed for identification.

Furthermore, on the search screen shown in FIG. 14, the user specifies "mobile" as the identification word. In this case, the search processing unit selects "mobile" as the identification word. Similarly, on the client terminal, the first document in the search results displays a snippet consisting of two texts: "The management screen will not be provided for mobile users" and "The design of the search screen for mobile users is as follows." "Mobile" is identified and displayed.

In step S1011, the search result storage unit 134 is updated with the document list obtained from the document DB 120 and the obtained related words and snippets.

In step S1012, the search results are returned to the client terminal. A search result screen as shown in FIG. 12 is displayed on the client terminal.

Next, the identification word candidate creation process executed by the identification word candidate creation unit 135 in the embodiment of the present invention will be described using the flowchart of FIG. 11.

As a reference example, it is assumed that the search conditions shown in FIG. 4 are stored in the search condition storage section 132, the search results shown in FIG. Assume that the keyword is "Add keyword filter/keyword 'mobile'". It is also assumed that the priority rule table (search result list) 136 is used as the priority rule table and its contents are as shown in FIG.

From steps S1101 to S1105, an identification word candidate source table creation process is performed. The identification word candidate source table, as shown in FIG. 8, is a table consisting of words, sources of acquisition of the words, and details of the sources of acquisition. The source details may be empty. The same word may appear more than once.

In step S1101, words from the search query stored in the search condition storage unit 132 are added to the identification word candidate source table.

For example, the search conditions in FIG. 4 include the search query "product "Product Similarly, "specification" has the acquisition source as "search query", and since it is the second word obtained from the left of the search query, it is added to the identification word candidate source table with the acquisition source details set as "second from the front".

In step S1102, words are added to the identification word candidate source table from the characteristic words of the similar document search query stored in the search condition storage unit 132.

For example, the search conditions in FIG. 4 include "product Y," "specifications," and "screen" as characteristic words of the similar document search query, so the words "product Y," "specifications," and "screen" are obtained. These words are added to the identification word candidate source table with the acquisition source as "feature word of similar document search query".

In step S1103, words are added to the identification word candidate source table from the keyword filter stored in the search condition storage unit 132.

For example, the search conditions in FIG. 4 include "screen" and "mobile" as keyword filters, so the words "screen" and "mobile" are obtained. These words are added to the identification word candidate source table with the source as the "keyword filter".

In step S1104, words from the related words stored in the search result storage unit 134 are added to the identification word candidate source table.

For example, the search results in FIG. 5 include "planning," "design," and "proposal" as related words, so the words "planning," "design," and "proposal" are obtained. These words are added to the identification word candidate source table with the acquisition source as "related words of search results."

In step S1105, characteristic words (words characteristic of the document and determined from statistical values such as tf-idf) of the document list stored in the search result storage unit 134 are displayed in an identification word candidate source table. Add to.

For example, the first document in the search results in FIG. 5 includes "design," "screen," and "mobile" as characteristic words, so the words "design," "screen," and "mobile" are obtained. These words are obtained from the document with the highest search score, with the acquisition source as "feature words in search results", so they are added to the identified word candidate source table with the source details as "document search score 1st". Add. Characteristic words can be similarly added to the second and third documents in the search results.

In step S1106, processing is started to repeat the list of entries in the identification word candidate source table.

In step S1107, the priority to be added is calculated from the priority rule according to the acquisition source and the search operation stored in the search operation storage unit 133.

For example, the priority of the word "mobile" in the entry 801 in the identification word candidate source table of FIG. 8 is calculated as follows using the priority rule table (search result list) of FIG. First, since the acquisition source is a keyword filter, the priority is increased by +300 according to rule 604.

Furthermore, since the operation type of the most recent search operation stored in the search operation storage unit 133 is "add keyword filter" and the added keyword is "mobile", the priority is +800 according to rule 605. Ru.

In general, the user's last search operation is considered to reflect the user's most recent interest. Therefore, it is considered beneficial to increase the priority and display preferentially the identification words related to the last search operation performed by the user. Similarly, rules 601, 602, and 603 are rules for increasing the priority of content that the user was interested in immediately before.

Finally, the priority of the word "mobile" in entry 801 is 1100.

As another example, the priority of the word "design" in entry 802 in the identification word candidate source table of FIG. 8 is calculated as follows. First, since the acquisition source is derived from "feature words of search results", the priority is increased by +50 according to rule 604.
Further, since the search score ranking of the document is first in the acquisition source details, the priority is decreased by -1 according to the rule 605.

This rule is such that the higher the search ranking, the higher the priority (the smaller the reduction).

A document with a high search ranking has a high degree of matching with the search conditions specified by the user, and can be said to be a document that is likely to be of interest to the user. Therefore, it is considered beneficial to increase the priority and preferentially display identification words that characteristically appear in documents with high search rankings.

In step S1108, the priority of the word entry in the identification word candidate table is updated. If the word already exists in the identification word candidate table, the priority value at this time is the sum of the existing priority and the value obtained in step S1107. On the other hand, if the word does not exist in the identification word candidate table, the word is added with the value determined in step S1107 as the initial priority value.

For example, in the identification word candidate source table of FIG. 8, the word "mobile" has two entries: entry 801 whose acquisition source is "keyword filter" and entry 803 whose acquisition source is "feature word of search result document". be.
Assuming that entry 801 obtains a priority of 1100 and entry 803 obtains a priority of 49, the final priority of the word "mobile" is the sum of these, 1149.

In step S1109, if any unprocessed words remain in the list of identified words, the process returns to step S1106, and if all the processes have been completed, the process proceeds to step S1110.

In step S1110, the identification word candidate table is sorted in descending order of priority. Note that words having the same priority may be placed in any order. If you want to make the order unique, you can use the word character code order.

The final identification word candidate table is as shown in FIG. If the operation mode for simple identification word selection is No in step S1006 of the search process and the document search system is set to select one word with the highest priority as an identification word, the identification word will be "mobile". This results in a different result than simply selecting identifying words from a search query. In this way, it is possible to automatically prioritize and display words that are likely to be of interest to the user, such as keyword filter words that are closely related to the most recent search operation.

The identification word candidate generation process is not only called as part of the search process, but also may be executed independently in response to a request from a client terminal. When a user manually inputs an identification word, the purpose is to present candidates to the user so that the user can easily input the identification word.

This will be explained using FIG. 13 as an example. When the search result screen is displayed on the client terminal, the user operates the client terminal and focuses on form 1301 for manually inputting an identification word. At this time, the client terminal requests an identification word candidate table from the document search system. Upon receiving the request, the document search system executes identification word candidate creation processing and returns an identification word candidate table to the client terminal. In this case, the created identification word candidate table is not narrowed down to only the top ones, but all items are returned to the client terminal. Note that it is also possible not to return entries for words that are identified words in the current search results.

Upon receiving the identification word candidate list, the client terminal displays an identification word candidate list 1302 at the bottom of the form 1301. The identification word candidate list 1302 is a list of words in the identification word candidate table. The higher the word is displayed, the higher the priority, and if the upper and lower positions are the same, the further the word is displayed to the left, the higher the priority is.

When the user operates the client terminal and clicks on a word included in the identification word candidate list 1302, the word is input into the form 1301. At the same time, the client terminal sends a request to the document search system to use the clicked word as an identification word and search using the same search conditions as the current one. As a result, a search process is performed in the document search system, and search results are returned to the client terminal. The client terminal updates the search result display based on the returned search results. Note that since the search conditions are the same, the documents and rankings of the search results will be the same, and in reality only the display of the snippet will be updated.

For example, when the word 1303 "mobile" in FIG. 13 is clicked, the search screen changes as shown in FIG. 14. In other words, the documents in the search results are the same, but the snippet display changes to a string around "mobile."

Furthermore, as a screen displayed on the client terminal, there is also a search result details screen as shown in FIG. 15 showing details of a specific document.

This is a screen that displays in detail only one document from among the documents obtained as a search result that is a return value of a search request. This screen allows the user to check the text of the document of interest in more detail.
The search result details screen also has a function that allows users to manually set identification words and check the surrounding context of the identification words. At this time as well, the document retrieval system presents identification word candidates to the user and assists the user in inputting the identification word.

The flow of presenting identification word candidates is similar to that of the search result list screen.
When a user operates a client terminal and focuses on a form 1501 for manually inputting an identification word, the client terminal requests an identification word candidate table from the document retrieval system. However, at this time, the client terminal makes a request to determine the priority using the priority rule table (search result details). The document search system returns the identification word candidate table obtained using the priority rule table (search result details) to the client terminal. Upon receiving the identification word candidate list, the client terminal displays an identification word candidate list 1502 at the bottom of the form 1501.

When the user operates the client terminal and clicks on a word included in the identification word candidate list 1502, the word is input into the form 1501. At the same time, the client terminal sends a request to the document search system to search using the clicked word as an identification word and the document ID of the document currently being displayed in detail as a search condition. As a result, a search process is performed in the document search system, and a search result including a snippet of the one document is returned to the client terminal. Based on the search results returned, the device replaces the text display with a snippet. Note that the search system can be configured to extract snippets from text items such as titles in addition to the main text, and the display of fields other than the main text can be replaced with the extracted snippets.

For example, when the word 1503 "mobile" in the identification word candidate list in FIG. 15 is clicked, the main text changes to display character strings surrounding "mobile" as shown in FIG. 16. The title does not include "mobile", so a blank field is displayed.

The process of creating an identification word candidate table regarding search result details will be described. Basically, the process is performed according to the flowchart in FIG. 11, similar to the process using the search result list. However, in step S1105, only the characteristic words of the document to be displayed in detail are added to the identification word candidate source table, and the characteristic words of other documents are not added. This is because there is a low possibility that related words in other documents are related to the document currently being displayed in detail. Furthermore, when calculating the priority rules in step S1107, the calculation is performed using the priority rule table (search result details) 137. FIG. 7 shows an example of the priority rule table (search result details) 137. Basically, it is the same as the priority rule table (search result list) 136, but regarding the characteristic words of the search results, rules like rule 701 apply when the acquisition source is the characteristic word of the document concerned. Become. Also, search score rankings are not used.

As explained above, in the present invention, not only words specified as a search query but also words that characterize the document retrieved from the document and words related to the retrieved document are subject to identification display. Therefore, a user who has performed a document search can efficiently check the search results.

The present invention can be implemented as, for example, a system, an apparatus, a method, a program, a recording medium, or the like. Specifically, the present invention may be applied to a system consisting of a plurality of devices, or may be applied to a device consisting of a single device.

Further, the program in the present invention is a program that allows a computer to execute the processing method shown in the flowcharts shown in FIGS. 10 and 11, and the storage medium of the present invention is a program that allows a computer to execute the processing method shown in is memorized. Note that the program in the present invention may be a program for each processing method of each device shown in FIGS. 10 and 11.

As described above, a recording medium recording a program that implements the functions of the embodiments described above is supplied to a system or device, and the computer (or CPU or MPU) of the system or device reads the program stored in the recording medium. It goes without saying that the object of the present invention can also be achieved by reading and executing.

In this case, the program itself read from the recording medium will realize the novel function of the present invention, and the recording medium on which the program is recorded constitutes the present invention.

Examples of recording media for supplying programs include flexible disks, hard disks, optical disks, magneto-optical disks, CD-ROMs, CD-Rs, DVD-ROMs, magnetic tapes, non-volatile memory cards, ROMs, EEPROMs, and silicon A disk or the like can be used.

In addition, by executing a program read by a computer, not only the functions of the above-described embodiments are realized, but also the OS (operating system) etc. running on the computer are realized based on the instructions of the program. It goes without saying that this also includes a case where part or all of the processing is performed and the functions of the embodiments described above are realized by the processing.

Furthermore, after the program read from the recording medium is written into the memory of the function expansion board inserted into the computer or the function expansion unit connected to the computer, the function expansion board It goes without saying that this also includes a case where a CPU or the like provided in a function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.

Moreover, the present invention may be applied to a system made up of a plurality of devices, or to a device made up of one device. It goes without saying that the present invention can also be applied to cases where the present invention is achieved by supplying a program to a system or device. In this case, by reading a recording medium storing a program for achieving the present invention into the system or device, the system or device can enjoy the effects of the present invention.

Further, by downloading and reading a program for achieving the present invention from a server, database, etc. on a network using a communication program, the system or device can enjoy the effects of the present invention. Note that all configurations that are combinations of the above-described embodiments and their modifications are also included in the present invention.

100 Document search system

Claims (14)

a search means for performing a document search using a search query specified by a user;
Display control means for controlling to display search results by the search means;
Feature word acquisition means for obtaining feature words in the document from the retrieved document;
Equipped with
The information processing system is characterized in that the display control means controls the characteristic word in the document searched by the search means to be displayed as an identification word in an identifiable manner. a search means for performing a document search using a search query specified by a user;
Display control means for controlling to display search results by the search means;
Related word acquisition means for acquiring related words that are words related to the document searched by the search means;
Equipped with
The information processing system is characterized in that the display control means controls the related word included in the document searched by the search means to be displayed as an identification word in an identifiable manner. 3. The information processing system according to claim 1, wherein the display control means controls to display a word that satisfies a predetermined condition among the characteristic word or the related word so as to be identifiable as an identification word. 4. The information processing system according to claim 3, wherein the display control means controls to display words that satisfy a predetermined condition among the identification words in a recognizable manner. 5. The information processing system according to claim 4, wherein the predetermined condition is a condition based on a priority calculated for each of the identification words. 6. The information processing system according to claim 5, wherein the priority is a value calculated based on information including an acquisition source of the identification word. 7. The information processing system according to claim 5, wherein the display control means controls to display a predetermined number of identification words in an identifiable manner in descending order of priority. Equipped with a reception means for accepting the specification of an identification word by the user,
8. The display control means controls to display the identification word in an identifiable manner when the reception means accepts the identification word from the user. The information processing system described. The display control means controls to display the identification word candidates,
9. The information processing system according to claim 8, wherein the accepting unit accepts the designation of the identification word by accepting a selection of a word to be identified and displayed from among the displayed identification word candidates. 10. The display control means controls to display, as a snippet, character strings surrounding the identification word that is the object of the identification display from the document searched by the search means. The information processing system according to item 1. 11. The information processing system according to claim 10, wherein the display control means displays the words included in the snippet in an identifiable manner. An information processing method in an information processing system, comprising:
a search step in which the search means of the information processing system performs a document search using a search query specified by a user;
a display control step in which the display control means of the information processing system controls to display the search results from the search step;
a characteristic word acquisition step in which the characteristic word acquisition means of the information processing system acquires characteristic words in the document from the retrieved document;
Equipped with
The information processing method is characterized in that the display control step controls the feature words in the document searched in the search step to be displayed as identification words in an identifiable manner. An information processing method in an information processing system, comprising:
a search step in which the search means of the information processing system performs a document search using a search query specified by a user;
a display control step in which the display control means of the information processing system controls to display the search results from the search step;
a related word acquisition step in which the related word acquisition means of the information processing system acquires related words that are words related to the document searched in the search step;
Equipped with
The information processing method is characterized in that the display control step controls the related words included in the document retrieved in the search step to be displayed as identification words in an identifiable manner. A program for causing a computer to function as each means according to any one of claims 1 to 11.

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