An intelligent searching model based on data integration and its query algorithms

Today, search engine has become a very necessary tool on the Web. But current information search models does not support semantic query. In this paper, we propose a share knowledge system model based on ISMBDI model supported by theories and technologies of semantic Web and ontology. 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. We then discuss query reconstruction methods and query algorithms in this model. The experiments and analysis show that ISMBDI model can solve the some problems existed in current search method, such as half-baked answer or redundant answer, a great deal of hash, conflicting data pattern and so on.