2010Unpublished venueRequires access

Data integration framework for semi-structured data and structured data on equiptment domain based on ontology

Wang Pan-qing, Xiongwei Li, Liu Zengliang

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Abstract

Information integration is a key way to solve the problem of the information isolated islands. In this paper, to deal with the problems of structured and semi-structured data integration in equipment domain, performance requests of the information integration framework in equipment domain are analyzed. An information integration framework at semantic level in equipment domain based on ontology is presented. The key techniques are studied. And the application example is also given. It is proved that the isolated information can be integrated effectively at semantic level through the presented information integration framework.

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What this paper is about

Information integration is a key way to solve the problem of the information isolated islands. In this paper, to deal with the problems of structured and semi-structured data integration in equipment domain, performance requests of the information integration framework in equipment domain are analyzed. An information integration framework at semantic level in equipment domain based on ontology is presented. The key techniques are studied. And the application example is also given. It is proved that the isolated information can be integrated effectively at semantic level through the presented information integration framework.

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Available abstract

Information integration is a key way to solve the problem of the information isolated islands. In this paper, to deal with the problems of structured and semi-structured data integration in equipment domain, performance requests of the information integration framework in equipment domain are analyzed. An information integration framework at semantic level in equipment domain based on ontology is presented. The key techniques are studied. And the application example is also given. It is proved that the isolated information can be integrated effectively at semantic level through the presented information integration framework.

Key concepts: Computer science, Ontology-based data integration, Ontology, Data integration, Information integration, Key (lock), Semantic integration, Domain (mathematical analysis)

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