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Semantic Enabled Metadata Framework for Data Grids

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4 Author(s)
Dayong Huang ; Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA ; Xinqi Wang ; Allen, G. ; Kosar, T.

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. There are two main issues we intend to address: 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.

Published in:

Complex, Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on

Date of Conference:

4-7 March 2008