Full Text Retrieval System Based on Dynamic Semantic Analysis

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 ...

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 There is also the problem of word sense disambiguation. If the ambiguity of some query words in the query statement is not considered, the extended results will also be meaningless.

Because of this, the traditional method of simply expanding the knowledge base based on artificial construction cannot solve the problem of extended retrieval well, so that accurate retrieval cannot be performed.

Images