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Towards the semantic grid: enriching content for management and reuse

Towards the semantic grid: enriching content for management and reuse
Towards the semantic grid: enriching content for management and reuse
Knowledge and Semantic Web technologies are evolving the Grid towards the Semantic Grid [18] to facilitate knowledge reuse and collaboration within a community of practice. In the Geodise project we are exploring the application of a range of knowledge and Semantic Web technologies to assist users in solving complex problems in Engineering Design Search and Optimization (EDSO), in particular enabling semantically enriched resource sharing and reuse. The target of content enrichment in Geodise ranges from command usage described in software manuals, a set of profile data, to a workflow customized to solve a particular problem. They become semantically enriched when their representations are delivered using a set of shared semantics which are well recognized in the domain. Knowledge acquisition and knowledge modelling (in particular ontology building) are the key steps to build these semantics. The repository of semantically enriched content can be regarded as a resource based on which various knowledge services [4] are made available to and integrated into a Problem Solving Environment (PSE) to assist an engineer in design optimization routines. For example, when constructing a script to generate a computational mesh, an ontology assisted domain script editor can provide syntax highlighting and context sensitive knowledge-driven auto-completion and advice. A rule-based workflow advisor gives guidance on building a domain workflow by reasoning over semantically enriched system states [6]. The workflow construction process itself is driven by task ontology so as to guarantee that the resulting workflow instances are enriched with consistent semantics. In this paper we demonstrate how a number of technologies have been deployed in EDSO.
Tao, Feng
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Cox, Simon
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Chen, Liming
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Shadbolt, Nigel
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Xu, Fenglian
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Puleston, Colin
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Goble, Carole
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Song, Wenbin
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Tao, Feng
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Chen, Liming
8a6922ab-cadb-4eca-a2ef-d413d1974ccb
Shadbolt, Nigel
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Xu, Fenglian
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Puleston, Colin
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Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38
Song, Wenbin
390dc209-bfcb-4986-8362-c25b40272307

Tao, Feng, Cox, Simon, Chen, Liming, Shadbolt, Nigel, Xu, Fenglian, Puleston, Colin, Goble, Carole and Song, Wenbin (2003) Towards the semantic grid: enriching content for management and reuse. Delivering e-Science, UK e-Science All-hand Conference 2003, United Kingdom. 01 - 03 Sep 2003.

Record type: Conference or Workshop Item (Paper)

Abstract

Knowledge and Semantic Web technologies are evolving the Grid towards the Semantic Grid [18] to facilitate knowledge reuse and collaboration within a community of practice. In the Geodise project we are exploring the application of a range of knowledge and Semantic Web technologies to assist users in solving complex problems in Engineering Design Search and Optimization (EDSO), in particular enabling semantically enriched resource sharing and reuse. The target of content enrichment in Geodise ranges from command usage described in software manuals, a set of profile data, to a workflow customized to solve a particular problem. They become semantically enriched when their representations are delivered using a set of shared semantics which are well recognized in the domain. Knowledge acquisition and knowledge modelling (in particular ontology building) are the key steps to build these semantics. The repository of semantically enriched content can be regarded as a resource based on which various knowledge services [4] are made available to and integrated into a Problem Solving Environment (PSE) to assist an engineer in design optimization routines. For example, when constructing a script to generate a computational mesh, an ontology assisted domain script editor can provide syntax highlighting and context sensitive knowledge-driven auto-completion and advice. A rule-based workflow advisor gives guidance on building a domain workflow by reasoning over semantically enriched system states [6]. The workflow construction process itself is driven by task ontology so as to guarantee that the resulting workflow instances are enriched with consistent semantics. In this paper we demonstrate how a number of technologies have been deployed in EDSO.

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More information

Published date: 2003
Additional Information: Event Dates: 2-4 September, 2003
Venue - Dates: Delivering e-Science, UK e-Science All-hand Conference 2003, United Kingdom, 2003-09-01 - 2003-09-03
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 258187
URI: http://eprints.soton.ac.uk/id/eprint/258187
PURE UUID: 0d03d5aa-a0ed-40ad-98c9-bb8438f6d850

Catalogue record

Date deposited: 01 Sep 2003
Last modified: 22 Sep 2020 16:52

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