Semantic-based text retrieval method

Abstract

The invention provides a semantic-based text retrieval method, and solves the problems that polysemy or synonymy cannot be distinguished and retrieval results are mistakenly selected or missed in the retrieval process. According to the method, concepts of words replace words for searching and retrieval, and the retrieved files are sorted; the method specifically comprises steps as follows: S1, a concept tree is established according to the concepts of words, and a word similarity matrix is calculated; S2, the concept of a target file is extracted in reference of a preset body, the target file is subjected to indexing processing according to the concept, and an index file is generated; S3, word segmentation is performed on initial query of a user, similar items whose similarity to the query words is larger than the threshold value M are found out from the word similarity matrix, and the similar items are added to the user query in an OR manner; S4, a search engine searches the target file according to the user query; S5, according to the similarity of words, the similarity of the files is evaluated, and the files are sorted; and S6, file data are read, and a sorting result is output.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a text retrieval method based on semantics. Background technique [0002] Modern society has entered the information age, and the information resources contained in the Internet continue to grow, becoming an important source of information. At present, there are many technologies that provide customized information search, but some of these technologies have high requirements for basic information facilities, long implementation period, and high system construction and maintenance costs. The main customers are super-large enterprises and governments, and ordinary enterprises and individuals cannot afford it; Some of them can only support the most basic information retrieval functions, the retrieval scope is small, and the retrieval results are not comprehensive. In particular, it is very common for one word to have multiple meanings and multiple words to have one m...

AI Technical Summary

Problems solved by technology

[0003] Based on the problems existing in the background technology, the present invention proposes a text retrieval method based on semantics, which solves the problem of inability to distinguish one word with multiple meanings or multiple words with one meaning during the retrieval process, resulting in wrong selection or omission of retrieval results

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