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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 275-286 |
| Number of pages | 12 |
| Journal | International Journal of Grid and Utility Computing |
| Volume | 1 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
Keywords
- Cross-domain query
- Data Grid
- Metadata management
- Ontology
ASJC Scopus subject areas
- Management Information Systems
- Computer Science Applications
- Applied Mathematics