TY - GEN
T1 - Semantic enabled metadata framework for data grids
AU - Dayong, Huang
AU - Xinqi, Wang
AU - Allen, Gabrielle
AU - Kosar, Tevfik
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/54749104650
U2 - 10.1109/CISIS.2008.72
DO - 10.1109/CISIS.2008.72
M3 - Conference contribution
AN - SCOPUS:54749104650
SN - 0769531091
SN - 9780769531090
T3 - Proceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems
SP - 381
EP - 386
BT - Proceedings - CISIS 2008
T2 - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems
Y2 - 4 March 2008 through 7 March 2008
ER -