2008Journal of Beijing Union UniversityRequires access

Ontology Integration and Application of Relational Databases

Hongzhe Liu

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Abstract

Ontology is used more and more for the integration of heterogeneous information sources.In general,there are three different directions for ontology integration: single ontology approach,multi ontology approach and hybrid ontology approach.In the paper,an integration framework based on hybrid ontology approach is proposed.The approach supports two types of queries: queries posed on global ontology and those posed on local data sources.How the two types of queries are implemented is discussed in details.In addition,the implementation of the framework in distributed museums proves efficient.

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What this paper is about

Ontology is used more and more for the integration of heterogeneous information sources.In general,there are three different directions for ontology integration: single ontology approach,multi ontology approach and hybrid ontology approach.In the paper,an integration framework based on hybrid ontology approach is proposed.The approach supports two types of queries: queries posed on global ontology and those posed on local data sources.How the two types of queries are implemented is discussed in details.In addition,the implementation of the framework in distributed museums proves efficient.

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Available abstract

Ontology is used more and more for the integration of heterogeneous information sources.In general,there are three different directions for ontology integration: single ontology approach,multi ontology approach and hybrid ontology approach.In the paper,an integration framework based on hybrid ontology approach is proposed.The approach supports two types of queries: queries posed on global ontology and those posed on local data sources.How the two types of queries are implemented is discussed in details.In addition,the implementation of the framework in distributed museums proves efficient.

Key concepts: Ontology, Ontology-based data integration, Computer science, Process ontology, Suggested Upper Merged Ontology, Upper ontology, Ontology alignment, Information retrieval

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