RDF/XTM Ontology Construction Based on a Topic Maps-Driven Framework

  • Cheng-Zen Yang
  • Ing-Xiang Chen
  • Chun-Hua Chou
  • Meng-Chia Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)


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.


Digital Library Authoring Tool Knowledge Management System Ontology Construction Digital Museum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cheng-Zen Yang
    • 1
  • Ing-Xiang Chen
    • 1
  • Chun-Hua Chou
    • 1
  • Meng-Chia Yang
    • 1
  1. 1.Department of Computer Science and EngineeringYuan Ze UniversityTaiwan, R.O.C.

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