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Empowering Resource Providers to Build the Semantic Grid

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Chen, Liming, Cox, Simon, Tao, Feng, Shadbolt, Nigel R., Goble, Carole and Puleston, Colin (2004) Empowering Resource Providers to Build the Semantic Grid. In: The IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), Beijing China. UNSPECIFIED. 8 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/WI.2004.63

Abstract

The future success of Grid-enabled e-Science depends on the availability of semantic/knowledge-rich resources on the Grid, i.e., the so-called semantic Grid. This requires not only novel knowledge modelling and representation formalisms but also a shift of knowledge acquisition and population from a limited number of specialised knowledge engineers to resource providers. To this end we have developed a lightweight ontology-enabled tool, "Function Annotator", to support resource providers in capturing and publishing resource semantics and knowledge. Function Annotator takes a different line to most knowledge acquisition tools in that it is designed for use by resource providers, probably in the absence of a knowledge engineer. Its aim is to facilitate large scale knowledge population on the Grid. Function Annotator is built on the state-of-the-art of semantic web technologies, such as ontologies, OWL, instance store and DL-based reasoning, thus ensuring flexibility and scalability on the Grid. This paper describes the tool's role in a Grid-oriented resource lifecycle, its underlying technologies and implementation. It also illustrates the usage of the tool in the context of engineering design search and optimisation.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:11641
Deposited By:Dr Liming Chen
Deposited On:09 Mar 2010 15:54
Last Modified:29 Jun 2011 16:02

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