Large scale ontology tailoring and simulation in the Semantic Grid Environment

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.