Body-based food security event semantic retrieval system

Abstract

The invention provides a body-based food security event semantic retrieval system. Firstly, a food security field body which mainly relates to knowledge of food security event, problem food and intoxicating substances is established; automatic expansion of the food security body is realized based on an information extraction technology; inference rules are designed according to a semantic relationship among concepts of the food security bodies, so that the knowledge in the field of food security is reasoned; the semantic retrieval of the food security knowledge in a body base can be realized, concept information which has a semantic relationship with food security event keywords can be retrieved according to the food security event keywords input by users, detailed information of the food security event and the intoxicating substances can be checked, and if the users input problem food, the food security event information related with the problem food can be retrieved; and a body-based semantic inquiring expanding method is provided, so that the concepts which have a specific semantic relationship with user inquiry words can be expanded, and the recall ratio and precision ratio of the retrieval system can be improved.

Description

Technical field [0001] The invention belongs to the category of semantic retrieval technology, and is specifically a semantic retrieval system for food safety events based on ontology. The semantic retrieval system is an improvement of the information retrieval system, oriented to the food safety field, and can provide users with semantically relevant food safety information retrieval results. Background technique [0002] In recent years, food safety emergencies in my country have occurred one after another. Food safety issues have become the focus of people’s concern, social concern, and national attention. The information on food safety on the Internet has also increased rapidly. How to quickly, accurately and conveniently obtain the required information , Has attracted the attention of more and more researchers. Traditional keyword-based information retrieval technology and retrieval methods have severely separated the semantic relationship between words and words, and the wi...

AI Technical Summary

Problems solved by technology

The traditional keyword-based information retrieval technology and retrieval methods have seriously separated the semantic relationship between words and words, and the phenomenon of multiple words with one meaning and multiple meanings in one word in natural language is widespread, which makes it difficult for users to search results that satisfy users. Demand for Information Resource Query

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