JPH06337897A - Device and method for retrieving document - Google Patents

Abstract

PURPOSE:To easily and quickly retrieve to what degree there is a character string matching with a specific character string out of plural character strings by retrieving equivocation including incomplete matching with the specific character string in all documents and executing the conditional retrieval of an extracted document based upon a previously set retrieving field. CONSTITUTION:In the case of executing the retrieval of a specific character string for the whole documents stored in a storage device 2 from a certain client machine 4, the character string is inputted from the machine 4 as a retrieving key and the threshold of matching degree is set to a prescribed value or more. On the other hand, various documents are stored in the device 2, each document is constituted of a title and a text and a self-correlation information map in which 'electricity', 'chemical', 'machine', etc., are set as respective fields. Are previously set, at the time of retrieving all the documents by a server 1, the self-correlation information of the specific character string to be retrieved is also prepared and collated with the previously set map. Consequently high speed retrieval can be executed.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a document retrieval apparatus and a document retrieval method, and more particularly to a document retrieval for retrieving a specific document from a plurality of documents managed by a server on a network accessed by a plurality of clients. The present invention relates to an apparatus and a document search method.

[0002]

2. Description of the Related Art Conventionally, for example, in a server / client type workstation provided with a plurality of clients and servers, many documents are stored in a server and accessed by a client machine via a network for retrieval. When doing, it is only possible to search whether or not each document contains a specific character string (keyword), and normally, it is only necessary to check whether or not all the character strings are included. The search was being done. In such a search, especially in the case of a long foreign word written in katakana, etc., it may not be possible to search due to a subtle difference in the notation. Further, there is a problem that the search becomes significantly slow when the total amount of documents to be searched is large, such as the number of documents to be searched.

Japanese Unexamined Patent Application Publication No. HEI 4-
In Japanese Patent No. 326164, the autocorrelation information of each character (code) is stored at the same time for each document when the document is stored.
When searching for autocorrelation information of each character of the keyword,
There is disclosed a search system that can detect the presence / absence of a keyword in each search target document as well as the degree of coincidence of the keyword easily and at high speed by using the structure for detecting the presence / absence.

However, in general, only a keyword search is possible for a document, and when various documents are stored, it is not always possible to search by only the keyword. For example, the field of the document, the author, the format, etc. Sometimes a search by is useful.

Therefore, it is conceivable to construct a database in which these documents are used as one of the fields. However, in the keyword search in the ordinary database, the high speed search as described in the above publication can be performed. No
Especially, there is a problem that it takes a lot of time to perform a fuzzy search.

[0006]

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned problems of the prior art. The main purpose of the present invention is to search for each document to be searched with a specific character string and to what extent. An object of the present invention is to provide a document search device and a document search method that can easily and quickly search for matching character strings, and can also perform conditional search.

[0007]

According to the present invention, the above object is a document retrieval apparatus for retrieving a specific document from a plurality of documents stored in a storage device, one document retrieval apparatus for each document. Alternatively, means for performing a fuzzy search including two or more set search fields and including incomplete matching of a specific character string for all the documents, and the search for the documents extracted by the fuzzy search A document retrieval method for retrieving a specific document from a plurality of documents stored in a document retrieval device and a storage device, characterized by having a means for performing a conditional retrieval by a field for use Performing a fuzzy search including an incomplete match of a specific character string, and one or two or more preset search fields for each document extracted by the fuzzy search. It is achieved by providing a document retrieval method characterized by having a process of performing conditional search.

[0008]

In this way, for example, one or more search fields are set in an area that is not used for normal document processing in each document for each file, and incomplete character strings are specified for all documents. By enabling a fuzzy search that also includes matches, and further narrowing down the search results by the setting conditions for the search field, multiple documents stored in the storage device can be stored even if the database structure is not taken. Various searches including fuzzy searches can be performed at high speed.

[0009]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT A preferred embodiment of the present invention will now be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram showing a system configuration of a server / client type workstation to which the present invention is applied. This system is a mass storage device 2
And a plurality of client machines 4 connected to the server 1 via a known network 3.

Various documents are stored in the storage device 2. FIG. 2 shows the structure of each document and the fields set in each document. Each document itself is composed of a "title" and a "body". In addition, "electricity", "chemistry", "machine", "information", and "others" are set as fields, and a flag is set in a field of a field to which the document corresponds among the fields. It goes without saying that this flag may stand in multiple fields.

For example, Document 1 is a patent publication of an electric circuit, the field "electricity" is flagged, Document 2 is a newspaper article, and the field "chemistry" is flagged. In this manner, each of the documents 1 to n (numbers 1 to n are ID numbers managed by the server) has a flag set in any field.

As shown in FIG. 3, the server 1 searches for a specific character string from the above-mentioned autocorrelation information, and a search unit 11 for determining the degree of matching, and a search result from the search unit 11, For each document, there is provided an aggregation processing unit 12 that aggregates the degree of coincidence between the “title” and the “body” and sets the highest degree of coincidence as the degree of coincidence of the document.

The document retrieval processing procedure in this embodiment will be described below.

A specific character string from a client machine 4,
For example, when performing a search for the character string “feedforward” on all the documents stored in the storage device 2, the character string is input as a “search key” from the client machine 4 and the threshold of the degree of coincidence described later is, for example, 70%. Set as above. Then, this client machine 4 accesses the server 1,
The server 1 actually searches for all the documents stored in the storage device 2. At this time, since the autocorrelation information of each document is created and stored in advance as a map as described above, only the autocorrelation information of the character string "feedforward" is also created and collated with the above map for high speed. You can search. The speed of this search hardly depends on the capacity of the entire document, but depends on the length of the character string to be searched. Here, it is possible to limit the search range to "title" or "body" on a screen (not shown) of the client machine 4. However, the actual search is performed on the "title" and "text" of all documents regardless of this limitation.

The search result obtained by the search unit 11 is sent to the totalization processing unit 12 as it is. A process of totalizing the degree of coincidence between the “title” and the “text” of each document from the retrieval result from the retrieval unit 11 by the totalization processing unit 12 and setting the highest degree of coincidence as the degree of coincidence of the document. Is done. At this time, if the search range is set, the highest matching score in the set range is set as the matching score of the document.

Then, the result is sent to the client machine 4, and as shown in FIG. 4, the documents having the degree of coincidence equal to or higher than the above-mentioned set threshold value are collectively displayed on the display. Then, the operator clicks the "sort" key in FIG. 4 with a pointing device such as a mouse to rearrange and display the images in descending order of the degree of coincidence.

Next, as a field limiting condition on the screen of FIG. 5, any one or more of "electricity", "chemistry", "machinery", "information", and "others" are OR conditions or Select by AND condition. This condition further narrows down the documents displayed on the screen of FIG.

In this embodiment, after inputting a search character string and displaying the search result, a field limiting condition is added to further narrow down the search. However, the search character string and field limiting condition are continuously input. Later, a search may be performed. In this case, there is almost no change in the processing on the server side, and only the display order on the client side is changed.

[0020]

As is apparent from the above description, according to the document retrieval apparatus and the document retrieval method of the present invention, one or more retrievals are made in the areas of each document that are not used for normal document processing. By setting the search field, it is possible to perform a fuzzy search that includes incomplete matching of specific character strings for all documents, and further narrow down this search result by the setting conditions for the search field.
Since various searches including ambiguous searches can be performed at high speed on a plurality of documents stored in a storage device without using a database structure, handling of a large number of stored documents and operability on the search side are improved. improves.

[Brief description of drawings]

FIG. 1 is a block diagram showing a system configuration of a server / client type workstation to which the present invention is applied.

FIG. 2 is an explanatory diagram showing a structure of a document stored in a storage device.

FIG. 3 is a block diagram showing a part of a functional configuration of a server and a client machine in a server / client type workstation to which the present invention is applied.

FIG. 4 is an explanatory diagram showing a search screen on the display of the client machine.

FIG. 5 is an explanatory diagram showing a search screen on the display of the client machine.

[Explanation of symbols]

 1 Server 2 Storage Device 3 Network 4 Client Device 11 Search Unit 12 Aggregation Processing Unit

Claims (2)

[Claims] 1. A document retrieval device for retrieving a specific document from a plurality of documents stored in a storage device, which has one or two or more retrieval fields set for each document, It has means for performing a fuzzy search including an incomplete match of a specific character string on all the documents, and means for performing a conditional search by the search field for the documents extracted by the fuzzy search. Document retrieval device. 2. A document search method for searching a specific document from a plurality of documents stored in a storage device, wherein a fuzzy search including an incomplete match of a specific character string is performed on all the documents. A document search method comprising: a step of performing a conditional search using one or two or more preset search fields for each document for the documents extracted by the fuzzy search.