Title: Semantic enabled metadata management in PetaShare

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

Addresses: Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA. ' Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA. ' Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA. ' Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA. ' Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA. ' Center for Computation & Technology, Department of Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA

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.

Keywords: ontology; metadata management; data grid; cross-domain queries; semantics; scientific data sets; grid computing; data integration; semantic reasoning; data interoperability; knowledge extraction.

DOI: 10.1504/IJGUC.2009.027917

International Journal of Grid and Utility Computing, 2009 Vol.1 No.4, pp.275 - 286

Published online: 18 Aug 2009 *

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