Full-text retrieval system based on dynamic semantic analysis

A technology of dynamic semantics and retrieval system, applied in the field of information retrieval, can solve problems such as inability to retrieve, meaningless results, ignoring the dynamic changes of semantic information of words, etc., to achieve the effect of accurate matching, improving precision and improving recall.

Inactive Publication Date: 2014-03-26
HUAZHONG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

General extended retrieval is based on artificially constructed knowledge bases (such as ) to expand the query word, but the artificially constructed knowledge base ignores the dynamic change of word semantic information, this change cannot be reflected in the extended search, thus limiting the improvement of the performance of the retrieval system; in addition, when expanding the query word

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  • Full-text retrieval system based on dynamic semantic analysis
  • Full-text retrieval system based on dynamic semantic analysis
  • Full-text retrieval system based on dynamic semantic analysis

Examples

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[0031] The present invention will be further described in detail below with reference to the drawings and embodiments.

[0032] Such as figure 1 As shown, the full-text retrieval system based on dynamic semantic analysis provided by the present invention includes a query information receiving module 100, a query sentence semantic processing module 200, a semantic knowledge base 300, a word contribution dynamic calculation module 400, a retrieval module 500, an index library 600, Index module 700, document collection 800, and result processing module 900.

[0033] The query information receiving module 100 is configured to receive the query sentence input by the user, and submit the query information to the query sentence semantic processing module 200 for semantic processing according to the user's needs, or directly submit it to the retrieval module 500 for retrieval.

[0034] Such as image 3 As shown, the processing process of the query information receiving module 100 is: (1) the...

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Abstract

The invention belongs to the information retrieval technology and provides a full-text retrieval system based on dynamic semantic analysis. The full-text retrieval system comprises a query information receiving module, a query statement semantic processing module, a semantic knowledge base, a word contribution degree dynamic calculation module, a retrieval module, an index database, an index module, a result processing module and a document set. According to the full-text retrieval system based on dynamic semantic analysis, word contribution degree information can be dynamically calculated and updated, word sense disambiguation can be conducted on query expansion statements, the query expansion statements meeting semantics are screened out, and full-text information retrieval supporting dynamic semantic analysis is achieved. The full-text retrieval system has the advantages of being higher in precision ratio, recall ratio and dynamic performance.

Description

technical field [0001] The invention belongs to information retrieval technology, and in particular relates to a full-text retrieval system based on dynamic semantic analysis. Background technique [0002] Due to the continuous development and rapid popularization of Internet technology, the amount of network information has grown rapidly. In such an era of massive information, it is time-consuming and labor-intensive for users to find the information they need in the ocean of information, just like finding a needle in a haystack. However, the birth of search engines has alleviated the difficulty of finding information to a certain extent. A search engine is a system that uses specific computer programs to collect information from the Internet according to certain strategies, organizes and processes the information, provides users with retrieval services, and displays the retrieved relevant information to users. Most of the search engines are based on information retrieval ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3335G06F16/3338
Inventor 张茂元邹春燕吴德钰张红袁芳华丽君罗贤亮贺凡黎陈水银孟琼瑶
Owner HUAZHONG NORMAL UNIV
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