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Full-text retrieval system based on semantic analysis of relevant words

A semantic analysis and retrieval system technology, applied in the field of information retrieval, can solve problems that cannot meet the needs of the times, achieve the effect of meeting retrieval needs, improving recall rate, and high precision rate

Inactive Publication Date: 2014-06-04
HUAZHONG NORMAL UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the development of information retrieval technology, in order to better meet the needs of users, simply matching query statements from a statistical point of view can no longer meet the needs of the times.

Method used

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  • Full-text retrieval system based on semantic analysis of relevant words
  • Full-text retrieval system based on semantic analysis of relevant words
  • Full-text retrieval system based on semantic analysis of relevant words

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Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0029] Such as figure 1 As shown, the full-text retrieval system based on the semantic analysis of related words provided by the present invention includes a query information receiving module 100, a concept semantic analysis module 200 based on related words, a semantic knowledge base 300, a retrieval module 400, an index library 500, an index module 600, A topic semantic analysis module 700 based on related words, a result set processing module 800 and a data server 900 .

[0030] The query information receiving module 100 is used to receive the query information input by the user and perform certain normalization processing, such as Chinese word segmentation, stop word removal, etc., and then request the retrieval module 400 to perform retrieval services.

[0031] Such as image 3 As shown, the processing flow of the query information rec...

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Abstract

The invention belongs to the information retrieval technology and provides a full-text retrieval system based on semantic analysis of relevant words. The full-text retrieval system based on semantic analysis of the relevant words comprises an inquiry information receiving module, a concept semantic analysis module based on the relevant words, a semantic knowledge base module, a retrieval module, an index database, an index module, a theme semantic analysis module based on the relevant words, a result set processing module and a data server. The full-text retrieval system based on semantic analysis of the relevant words is based on the improvement on a traditional Internet search engine, and by the adoption of the system, concept semantic analysis based on the relevant words and theme semantic analysis based on the relevant words of a document can be achieved, and users can obtain search results which are more accurate, more comprehensive and more intelligent.

Description

technical field [0001] The invention belongs to information retrieval technology, and in particular relates to a full-text retrieval system based on semantic analysis of related words. Background technique [0002] With the rapid development of society and the continuous advancement of science and technology, the information that people can access has also increased geometrically. The continuous accumulation of this information has formed the "massive data" we are familiar with. So how to accurately and quickly retrieve the information that users need from massive data has become an opportunity and challenge faced by the Internet information age. The emergence of search engines has solved this problem to a certain extent. The main technology used by traditional search engines is to preprocess the document sets that need to be retrieved, such as Chinese word segmentation, stop words, etc., and build an inverted index on the document set, and then retrieve the query words or ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/316G06F16/3331
Inventor 张茂元邹春燕陈水银张红管益龙贺凡黎华丽君罗贤亮吴德钰袁芳孟琼瑶
Owner HUAZHONG NORMAL UNIV
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