Transformation from OWL description to resource space model

  • Authors:

  • Hai Zhuge;Peng Shi;Yunpeng Xing;Chao He

  • Affiliations:

  • China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;China Knowledge Grid Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • ASWC'06 Proceedings of the First Asian conference on The Semantic Web
  • Year:
  • 2006

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Abstract

Semantics shows diversity in real world, document world, mental abstraction world and machine world Transformation between semantics pursues the uniformity in the diversity The Resource Space Model (RSM) is a semantic data model for organizing resources based on the classification semantics that human often use in understanding the real world The design of a resource space relies on knowledge about domain and the RSM Automatically creating resource space can relieve such reliance in RSM applications This paper proposes an approach to automatically transform Web Ontology Language description into resource space The normal forms of the generated resource space are investigated to ensure its normalization characteristic The Dunhuang culture resource space is used to illustrate the approach.