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Analysis of Semantic Heterogeneity Using a New Ontological Structure Based on Description Logics

Every information system has its own domain model for its environment and efficient task operations, which results in diverse heterogeneity, especially the semantic heterogeneity. Ontology is an agreement about shared conceptualizations, which can make the meaning of the different vocabularies used explicit, and so the semantics of diverse information systems can be captured by ontology-definitions of terms. This paper constructs an ontological structure using description logic, divides the types of heterogeneity of information system into two categories from the ontological view: conceptualization conflict and term assignment conflict, and analyses approaches to solve conflict by ontology mapping. Finally, this paper construct semantic-oriented integration architecture for heterogeneous systems based on ontology mapping, and discusses data request and response under the architecture, and proposes five rules for data search.