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.
This work was supported in part by National Science Council of R.O.C. under grant NSC 95-2815-C-155-019-E, and 95-2745-E-155-008-URD.
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Yang, CZ., Chen, IX., Chou, CH., Yang, MC. (2006). RDF/XTM Ontology Construction Based on a Topic Maps-Driven Framework. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds) Digital Libraries: Achievements, Challenges and Opportunities. ICADL 2006. Lecture Notes in Computer Science, vol 4312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11931584_63
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DOI: https://doi.org/10.1007/11931584_63
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