Semantic information retrieval system and method based on domain ontology

Abstract

The embodiment of the invention provides a semantic information retrieval system and method based on domain ontology, and relates to the field of intelligent information retrieval. The semantic information retrieval system and method based on the domain ontology can achieve individual recommendation of user retrieval requirements, optimize the retrieval result and improve the precision ratio. The method comprises the steps that the system carries out analysis processing on an initial inquiry request input by a user, and a final inquiry request is obtained; a network information file meeting the conditions is matched out from a resource base according to the final total inquiry request; analysis and semantic processing are carried out on the network information file with the help of a domain ontology base, and useless and unrelated information is filtered out; individual processing is carried out according to a user interest model, the information meeting the user individual requirements is found out, correlation sequencing is carried out on the retrieval results by combining semantic correlation degree and interest correlation degree, and the retrieval results subjected to sequencing processing are fed back to the user.

Description

technical field [0001] The invention relates to the field of intelligent information retrieval, in particular to a domain ontology-based semantic information retrieval system and method. Background technique [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, which leads to the current The precision of the information retrieval method is not high. [0003] How to quickly and effectively obtain the required information is a research topic with practical significance. With the growth of network resources and the personalization and c...

AI Technical Summary

Problems solved by technology

The retrieval results obtained by using the existing semantic retrieval technology may contain a large amount of irrelevant information inconsistent with the user's interest, which increases the workload of users to screen the information they are interested in from these irrelevant retrieval results.

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