Ontology To Solve Semantic Conflicts In Information Integration

The aim of information integration is to facilitate interoperability among distributed and heterogeneous information resources. It provide users with a global view of multi-information resources data without regard to data structure, storage and position.Ontology is the explicit and formal description of share conceptualization. It can provide semantic meaning through relations between concepts. Semantic conflict is the conflict caused by using different ways in heterogeneous systems to express the same entity in reality. It prevents information integration from accomplishing semantic consistency. The conflicts can be classified into two categories: data-level conflicts and schema-level conflicts according to their structural characters. As a fine model for presenting hierarchy and semantic meaning of concepts, Ontology can be used to eliminate semantic conflicts through schema mappings.In this paper, we propose a solution to the issue of semantic conflicts. Firstly, we define a common concepts semantic ontology called CCSOL to deal with various kinds of conflicts. Next, through intellectual agent, we can automatically detect conflicts by checking conceptual relevance. Finally, we create schema-mappings between CCSOL and domain ontologies and solve the conflicts with the mappings, we can ultimately reach semantic consistency between heterogeneous information resources in this approach.On the basis of these, we propose an ontology-based multi-agent prototype model. The model is query-centric.