Study Of The Intelligent Information Retrieval System Based On Ontology

With the development of information society, the information productivity growths at high speed. How to find valuable information for people in the tremendous amount of information has become an extremely important problem. The developing information retrieval technology provides a solution to the problem.The information retrieval technology based on ontology is the emphasis of the present research. In essentially, ontology is the description of the relations between objective existing concepts, so the information retrieval technology based on ontology provides semantic matching which makes up for the flaw of the traditional information retrieval technology based on keywords. It is better at recall and precision of the query result.First, the thesis introduces the ontology technology. It provides a theoretic foundation for the implementation of the information retrieval system based on ontology. Ontology is a formal specification of a shared conceptualization and it can express domain knowledge in a specific and formal way, accelerating information sharing. This paper compares and analyzes ontology describing languages, and it also introduces present ontology constructing methodology.Secondly, the paper studies the key ontology technology used in intelligent information retrieval system. This thesis compares and analyzes the present ontology constructing methodology, then applies the ideology of spiral rapid prototype method to the domain ontology constructing. It studies the algorithm of similarity and relevance of conceptions for the problem of intelligent query. This solves the problem of calculation with traditional knowledge.At last, in this paper, an information retrieval system based on ontology and multi-agent is presented by analyzing an existing...