Semantic enabled metadata framework for data grids

Huang Dayong, Wang Xinqi, Gabrielle Allen, Tevfik Kosar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. 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.

Original languageEnglish (US)
Title of host publicationProceedings - CISIS 2008
Subtitle of host publication2nd International Conference on Complex, Intelligent and Software Intensive Systems
Pages381-386
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
EventCISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems - Barcelona, Spain
Duration: Mar 4 2008Mar 7 2008

Publication series

NameProceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems

Other

OtherCISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems
Country/TerritorySpain
CityBarcelona
Period3/4/083/7/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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