Model-Based Mediation with Domain Maps
Proceedings of the 17th International Conference on Data Engineering
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Query-answering algorithms for information agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Indirectly driven knowledge modelling in ecology
International Journal of Metadata, Semantics and Ontologies
Web Service management system for bioinformatics research: a case study
Service Oriented Computing and Applications
| Hi-index | 0.00 |
Similar to content on the web, scientific data is highly heterogeneous and can benefit from rich semantic descriptions. We are particularly interested in developing an infrastructure for expressing explicit semantic descriptions of ecological data (and life-sciences data in general), and exploiting these descriptions to provide support for automated data integration and transformation within scientific workflows [2]. Using semantic descriptions, our goal is to provide scientists with: (1) tools to easily search for and retrieve datasets relevant to their study (i.e., data procurement), (2) the ability to select a subset of returned datasets as input to a scientific workflow, and (3) automated integration and restructuring of the selected datasets for seamless workflow execution.