Large scale ontology tailoring and simulation in the Semantic Grid Environment

  • Authors:

  • A. Flahive;B. O. Apduhan;J. W. Rahayu;D. Taniar

  • Affiliations:

  • Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia.;Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan.;Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia.;Clayton School of Information Technology, Monash University Clayton, Victoria 3800 Australia

  • Venue:
  • International Journal of Metadata, Semantics and Ontologies
  • Year:
  • 2006

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Abstract

Ontologies contain semantic information often annotated with metadata. They can get quite complex and very large, causing difficulties in using these ontologies on a daily basis. A large cluster computer is required to tailor these base ontologies into smaller and/or extracted sub-ontologies, but this is expensive and not a viable solution for most users. The Semantic Grid has the ability to process large semantic data repositories as fast as or faster than some of the largest cluster computers at a fraction of the cost. This paper explores the viability of using the Semantic Grid to tailor large ontologies, efficiently and cheaply.