In the Grid environments where many different implementations are available, the need for semantic matching based on a defined
ontology becomes increasingly important. Especially for service or resource discovery and selection. In this paper, we propose
a flexible and extensible approach for solving resource discovery and selection in the Grid Environments using ontology and
semantic web and grid technologies. We have designed and prototyped an ontology-driven resource discovery and selection framework
that exploits ontologies and domain knowledge base. We present results obtained when this framework is applied in the context
of drug discovery grid. These results demonstrate the effectiveness of our framework.
This research work is supported in part by the the National High Technology Research and Development Program of China (863
Program), under Grant No. 2004AA104270.