Semantic logic guide searching method based on interaction encyclopedic knowledge

Abstract

The invention discloses a semantic logic guide searching method based on interaction encyclopedic knowledge. The method comprises the following steps: classifying interaction encyclopedic online descriptive knowledge data into concept, relation and entity, forming a three-element relation group according to relation among the three types of knowledge, and extracting and storing the interaction encyclopedic knowledge in a form of the three-element relation group; setting four semantic logic symbols, constructing an inquiry statement by use of the four semantic logic symbols by a user, processing the inquiry statement by use of the three-element relation group, obtaining a new inquiry statement submission search engine, and recommending the other inquiry statement obtained by processing to the user. According to the method, similar and relevant logics which can not be processed by a common search engine are used, the inquiry statement is processed into the new inquiry statement which can be effectively processed by the common search engine, and the search precision of the search engine is improved; meanwhile, a more accurate inquiry statement can be recommended to the user, so that the efficiency of the search engine is improved, and the inquiry satisfaction degree of the user is improved.

Description

Technical field [0001] The present invention relates to information extraction, query processing, and information retrieval. Specifically, it is based on the massive ternary relation group knowledge set of interactive encyclopedia, combined with the knowledge matching algorithm to guide the user's search. Background technique [0002] Information retrieval technology, including search engines, is a common tool for people to find information in daily life, especially after the popularization of the Internet, search engines have become indispensable network applications. [0003] With the massive growth of Internet information and people’s high accuracy requirements for information retrieval, search engines that rely solely on inverted indexing and word matching technology generally have relatively short query sentences entered by users and cannot describe the query intent in detail and accurately. Next, the search effect is not satisfactory. Especially the ambiguity of words makes ...

AI Technical Summary

Problems solved by technology

From the user's point of view, the research on how to allow users to input query statements that can be effectively processed by search engines in a more direct and natural language still needs a lot of investment.

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