Semantics-assisted Problem Solving on the Semantic Grid
Semantics-assisted Problem Solving on the Semantic Grid
In this paper we propose a distributed knowledge management framework for semantics and knowledge creation, population and reuse on the Grid. Its objective is to evolve the Grid towards the Semantic Grid with the ultimate purpose of facilitating problem solving in e-Science. The framework uses ontology as the conceptual backbone and adopts the service-oriented computing paradigm for information-level and knowledge-level computation. We further present a semantics-based approach to problem solving, which exploits the rich semantic information of grid resource descriptions for resource discovery, instantiation and composition. The framework and approach has been applied to a UK e-Science project - Grid Enabled Engineering Design Search and Optimisation in Engineering (GEODISE). An ontology-enabled Problem Solving Environment (PSE) has been developed in GEODISE to leverage the semantic content of GEODISE resources and the Semantic Grid infrastructure for engineering design. Implementation and initial experimental results are reported.
Semantic Grid, e-Science, engineering design, ontology, knowledge management, problem solving
Chen, Liming
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Shadbolt, Nigel
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Goble, Carole
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Tao, Feng
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Puleston, Colin
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Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
2005
Chen, Liming
8a6922ab-cadb-4eca-a2ef-d413d1974ccb
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38
Tao, Feng
3d9fc416-da70-4ee2-87c4-6ba0a1d26461
Puleston, Colin
4b3fbe3f-1488-4cb9-b09c-77e8cc049218
Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
Chen, Liming, Shadbolt, Nigel, Goble, Carole, Tao, Feng, Puleston, Colin and Cox, Simon
(2005)
Semantics-assisted Problem Solving on the Semantic Grid.
Journal of Computational Intelligence, special issue, 21 (2).
Abstract
In this paper we propose a distributed knowledge management framework for semantics and knowledge creation, population and reuse on the Grid. Its objective is to evolve the Grid towards the Semantic Grid with the ultimate purpose of facilitating problem solving in e-Science. The framework uses ontology as the conceptual backbone and adopts the service-oriented computing paradigm for information-level and knowledge-level computation. We further present a semantics-based approach to problem solving, which exploits the rich semantic information of grid resource descriptions for resource discovery, instantiation and composition. The framework and approach has been applied to a UK e-Science project - Grid Enabled Engineering Design Search and Optimisation in Engineering (GEODISE). An ontology-enabled Problem Solving Environment (PSE) has been developed in GEODISE to leverage the semantic content of GEODISE resources and the Semantic Grid infrastructure for engineering design. Implementation and initial experimental results are reported.
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Published date: 2005
Keywords:
Semantic Grid, e-Science, engineering design, ontology, knowledge management, problem solving
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 260586
URI: http://eprints.soton.ac.uk/id/eprint/260586
PURE UUID: 7ce645b1-4966-4d88-9c61-bd603201a071
Catalogue record
Date deposited: 01 Mar 2005
Last modified: 14 Mar 2024 06:39
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Contributors
Author:
Liming Chen
Author:
Nigel Shadbolt
Author:
Carole Goble
Author:
Feng Tao
Author:
Colin Puleston
Author:
Simon Cox
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