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Why is Semantic Service Discovery Useful in a Distributed Environment such as the Grid? |
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Dr. Simone Ludwig Concordia University Montreal |
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The fundamental problem the Grid research and development community is seeking to solve is how to coordinate distributed resources amongst a dynamic set of individuals and organizations in order to solve a common collaborative goal. The problem arises through the heterogeneity, distribution and sharing of the resources in different virtual organizations. Interoperability is a main issue for applications to function with the Grid. This talk introduces a matchmaking framework for service discovery in Grid environments based on three selection stages which are context, semantic and registry selection. It provides a better service discovery process by using semantic descriptions stored in ontologies which specify both the Grid services and the application knowledge. The framework permits Grid applications to specify the criteria a service request is matched with and enables interoperability for the matchmaking process.
Dr. Ludwig is a Post-doctoral Research Fellow at Concordia University, Montreal. She received a Ph.D. degree in Computer Science and an M.Sc. degree in Distributed Computing Systems Engineering from Brunel University, UK in 2004 and 2000 respectively. Her research interests include Distributed computing, Grid computing, Agent computing, Knowledge engineering, Semantic Grid/Web and Software engineering.
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