RDF/XTM ontology construction based on a topic maps-driven framework

Authors:
Cheng-Zen Yang;Ing-Xiang Chen;Chun-Hua Chou;Meng-Chia Yang
Affiliations:
Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C.;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C.;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C.;Department of Computer Science and Engineering, Yuan Ze University, Taiwan, R.O.C.
Venue:
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Year:
2006

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Abstract

Ontology construction plays an important role in many semantically working environments, such as knowledge management systems and digital libraries. The efficiency, quality, and comprehensiveness of the construction process highly depends on the employed development framework. In this paper, we propose a Topic Maps-driven framework, called XRVAT, to alleviate the cumbersome construction procedure and generate both RDF/XTM ontologies with an effective XTM-to-RDF translation kernel. This paper briefly presents its design and an operational example.