Semantic retrieval method based on Ontology

Abstract

The invention discloses a semantic retrieval method based on Ontology. Firstly, an ontology base is built, and building of ontology rules is further finished; search keys are input by a user, the value of similarity is worked out through concept similarity under the support of ontology; then, the concept that the value of the similarity is larger than a threshold value is added to an original search key set according to the set threshold value to form a new concept set in an extending mode; searching is carried out on the ontology base through the new concept set serving as source input words; finally, searching results are fed back to the user. According to the semantic retrieval method based on the Ontology, under the support of an ontology reasoning technology, accurate searching of living examples is achieved through the application of attributes in the ontology, and accordingly information retrieval recall ratio and precision ratio are improved when being compared with those in the prior art. According to the semantic retrieval method based on the Ontology, the grammar level of simple keyword matching is improved to the semantic level capable of being understood by a computer, and therefore input keywords can be understood by the computer, and accordingly retrieval intelligentization is achieved.

Description

technical field [0001] The present invention belongs to the intersecting field of natural language processing and machine intelligence. It is to use Ontology (ontology) technology to improve the current information retrieval technology from the keyword matching method to the computer-understandable semantic retrieval method, and to apply this technology to tourism information retrieval. In this way, an intelligent tourism retrieval service has been realized. technical background [0002] With the rapid development of the Internet and mobile communication technology, the Web has become a global information source. How to quickly and accurately find the information they need from the vast information resources has become a difficult problem for users. The traditional information retrieval method provided to users is to match the keywords entered by users, but in most cases, it is difficult to understand the real search purpose of users through such simple keyword matching, whi...

AI Technical Summary

Problems solved by technology

The current travel yellow pages service system, such as "Ctrip" and "Tuniu", only performs simple word matching on the keyword information entered by the user in retrieval, and cannot understand the information entered by the user semantically, which means Can't retrieve the information that the user really needs

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