A Three-layer Framework for Querying Heterogeneous Information Sources Based on Ontology Mapping


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Abstract


Ontology is increasingly seen as a key factor for automatic processing of machines, and interoperability between heterogeneous information systems. Ontology mapping is becoming a crucial aspect in providing the background knowledge required for solving heterogeneity problems between semantically described data sources, and accessing distributed information repositories. Developing such ontology mapping has been a core issue of recent ontology research. In this paper we present a three-layer framework to (semi-)automatically discovering and using ontology mapping. We show how such resulting mapping is used for resolving semantic interrogation tasks, and enabling runtime semantic interoperability across heterogeneous information systems using semantic web technologies.
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Keywords


Ontology Mapping; Semantic Web; Semantic Interoperability; Similarity Measures

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References


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