A Query Rewriting And Semantic Association Based Algorithm For Ontology Retrieval

In present web, as the high-speed increase of information resources, those search engines built on traditional query technique can not get rid of their limitation on semantic processing. One critical challenge is how to implement semantic-based information retrieval and sharing for web-scale data resource. New idea and methods are introduced into the field to reform its theory and technology.Semantic Web is the next generation of Web, which is advocated by Tim Berners-Lee. In Semantic Web, every resource are identified by an URI (United Resource Identification), are related to each other by a formalized definition in Ontology. Semantic Web is believed to the expansion and extension of Contemporary World Wide Web, where information resources will be expressed in a clear and formal way, which can be realized easily between people and PC. Therefore sematic web can improve the interoperability between heterogeneous systems and promote knowledge sharing. Ontology is an advanced technology of representing knowledge in AI., where specified concepts and relationships are used to describe information. Ontology-based semantic retrieval as one of the important direction of intelligent information, which use ontology to build sharable and conceptual data resource, not only have semantic processing capacity and NLI, but also are able to process logic of related concepts. So ontology-based semantic retrieval has import research value.The main achievement of this paper contains:It first analyzes the concept of information retrieval, analyzes its current state and existing shortages. Then it introduces the new hot topics of semantic web.By thoroughly research on ontology's fundamentals and retrieval related techniques, based on the achievement of our team, a model for ontology-based semantic retrieval system is proposed. The design,main function and running mechanism of this model are explained.Give thoroughly studies on many ontology retrieval related technologies, including persistence of ontology, semantic inference,SPARQL query language for ontology and how to implement them all by Jena. Based on those researches, a query rewriting and semantic association based algorithm for ontology retrieval are brought forward. This algorithm's performance and implement are discussed in detail.Finally a prototype of the model– OSea system is developed to implement the algorithm. The result of testing and analyze for this system indicate that the model and algorithm proposed in this paper is effective and feasible.