Semantic query expansion method based on domain knowledge

Abstract

The invention discloses a semantic query expansion method based on domain knowledge, which comprises the following steps: taking concept expression and a knowledge tree system as the basis to construct the domain knowledge; performing primary semantic analysis on query phases input by users to form a semantic item list; utilizing results of the primary semantic analysis and taking the domain knowledge as the basis to construct a semantic map with expansion types and expansion weights; respectively computing semantic distances between each vertex and an initial vertex in the semantic map; determining an expandable item of each item in the semantic item list according to the semantic distances; and finally, combining all expandable items according to AND / OR logic relations to obtain a semantic item set representing the query intension of the users, and submitting the semantic item set to a searching system for searching. In the semantic query expansion method based on the domain knowledge, the computing time is short, the domain knowledge is fully utilized, and newly-added expanded semantic items and the original query phases have definite semantic relations, and the recall ratio and the precision ratio of the searching system can be improved effectively.

Description

technical field [0001] The invention belongs to the field of computers, relates to the application technology of natural language processing, specifically aims at network search engines, and proposes a semantic query expansion method based on domain knowledge. Background technique [0002] With the development of the Internet, the utilization rate of search engines in the United States has reached 90%, and it also reached 72.4% in China in 2008. Internet users are more and more inclined to obtain the resources they need through searching. Internet public information services represented by search engines are developing vigorously. In the case that the general search engine market is monopolized by famous companies such as Google, Microsoft, Yahoo, and Baidu, new search algorithms and technologies are constantly emerging, and personalized, specialized, and in-depth vertical searches are becoming another new step in the development of search engines. The bright spot is the em...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that when users use a search engine, they input less query words and cannot fully express the user's search intention, so the recall rate and accuracy rate of search results cannot meet the needs of users. The present invention aims at natural language Semantic correlation characteristics, propose a semantic query extension method based on domain knowledge

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