An Intelligent Searching Model Based on Ontology and Its Optimization Approaches

摘要

It has recently become an active research topic in Web intelligence to endow XML with semantics for query quality. But current information retrieval models have many limitations. In this paper, a share theories and technologies of semantic Web and ontology is proposed. This model takes XML sources as the object of data processing, XML/RDF as the description language of knowledge, and Ontology as the design mode of concepts. And then main algorithms of query process layer and some optimization approaches of this model are discussed. The experiments and analysis show that ISMBDI model and related query algorithms can solve some problems existed in current search models.