Semantic enabled metadata management in PetaShare
by Xinqi Wang, Dayong Huang, Ismail Akturk, Mehmet Balman, Gabrielle Allen, Tevfik Kosar
International Journal of Grid and Utility Computing (IJGUC), Vol. 1, No. 4, 2009

Abstract: 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.

Online publication date: Tue, 18-Aug-2009

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