Semantic enabled metadata management in PetaShare

Xinqi Wang, Dayong Huang, Ismail Akturk, Mehmet Balman, Gabrielle Allen, Tevfik Kosar

Research output: Contribution to journalArticlepeer-review


We designed a semantic enabled metadata framework using ontology for multi-disciplinary and multi-institutional large-scale scientific data sets in a Data Grid setting. Two main issues are addressed: data integration for semantically and physically heterogeneous distributed knowledge stores, and semantic reasoning for data verification and inference in such a setting. This framework enables data interoperability between otherwise semantically incompatible data sources, cross-domain query capabilities and multi-source knowledge extraction. In this paper, we present the basic system architecture for this framework, as well as an initial implementation. We also analyse a real-life scenario and show integration of our framework into the PetaShare Data Grid where multi-disciplinary data archives are geographically distributed across six research institutions in Louisiana.

Original languageEnglish (US)
Pages (from-to)275-286
Number of pages12
JournalInternational Journal of Grid and Utility Computing
Issue number4
StatePublished - 2009
Externally publishedYes


  • Cross-domain query
  • Data Grid
  • Metadata management
  • Ontology

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science Applications
  • Applied Mathematics


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