Semantic Support for Grid-Enabled Design Search in Engineering

Feng Tao; Liming Chen; Simon J. Cox; Nigel R. Shadbolt; Colin Puleston; Carole Goble

Semantic Support for Grid-Enabled Design Search in Engineering

Feng Tao
, Liming Chen
, Simon J. Cox
, Nigel R. Shadbolt
, Colin Puleston
, Carole Goble

Computer Science and Informatics Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Semantic Web technologies are evolving the Grid towards the Semantic Grid [2] to yield an intelligent grid which allows seamless process automation, easy knowledge reuse and collaboration within a community of practice. We discuss our endeavours in this direction in the context of Grid enabled optimisation and design search in engineering (“Geodise” project) [3]. In our work we have developed a semantics-based Grid-enabled computing architecture for Geodise. The architecture incorporates a service-oriented distributed knowledge management framework for providing various semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. We also describe ontological engineering work and a service-oriented approach to ontology deployment. We present several application examples that show the benefit of semantic support in Geodise.

Original language	English
Title of host publication	Unknown Host Publication
Pages	25-39
Number of pages	15
Publication status	Published (in print/issue) - Oct 2003
Event	The First GGF Semantic Grid Workshop, the Ninth Global Grid Forum - Chicago IL, USA Duration: 1 Oct 2003 → …

Conference

Conference	The First GGF Semantic Grid Workshop, the Ninth Global Grid Forum
Period	1/10/03 → …

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@inproceedings{a8d5660eb23e4d4abd3a86b91a2dc560,

title = "Semantic Support for Grid-Enabled Design Search in Engineering",

abstract = "Semantic Web technologies are evolving the Grid towards the Semantic Grid [2] to yield an intelligent grid which allows seamless process automation, easy knowledge reuse and collaboration within a community of practice. We discuss our endeavours in this direction in the context of Grid enabled optimisation and design search in engineering (“Geodise” project) [3]. In our work we have developed a semantics-based Grid-enabled computing architecture for Geodise. The architecture incorporates a service-oriented distributed knowledge management framework for providing various semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. We also describe ontological engineering work and a service-oriented approach to ontology deployment. We present several application examples that show the benefit of semantic support in Geodise.",

author = "Feng Tao and Liming Chen and Cox, \{Simon J.\} and Shadbolt, \{Nigel R.\} and Colin Puleston and Carole Goble",

year = "2003",

month = oct,

language = "English",

pages = "25--39",

booktitle = "Unknown Host Publication",

note = "The First GGF Semantic Grid Workshop, the Ninth Global Grid Forum ; Conference date: 01-10-2003",

}

TY - GEN

T1 - Semantic Support for Grid-Enabled Design Search in Engineering

AU - Tao, Feng

AU - Chen, Liming

AU - Cox, Simon J.

AU - Shadbolt, Nigel R.

AU - Puleston, Colin

AU - Goble, Carole

PY - 2003/10

Y1 - 2003/10

N2 - Semantic Web technologies are evolving the Grid towards the Semantic Grid [2] to yield an intelligent grid which allows seamless process automation, easy knowledge reuse and collaboration within a community of practice. We discuss our endeavours in this direction in the context of Grid enabled optimisation and design search in engineering (“Geodise” project) [3]. In our work we have developed a semantics-based Grid-enabled computing architecture for Geodise. The architecture incorporates a service-oriented distributed knowledge management framework for providing various semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. We also describe ontological engineering work and a service-oriented approach to ontology deployment. We present several application examples that show the benefit of semantic support in Geodise.

AB - Semantic Web technologies are evolving the Grid towards the Semantic Grid [2] to yield an intelligent grid which allows seamless process automation, easy knowledge reuse and collaboration within a community of practice. We discuss our endeavours in this direction in the context of Grid enabled optimisation and design search in engineering (“Geodise” project) [3]. In our work we have developed a semantics-based Grid-enabled computing architecture for Geodise. The architecture incorporates a service-oriented distributed knowledge management framework for providing various semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. We also describe ontological engineering work and a service-oriented approach to ontology deployment. We present several application examples that show the benefit of semantic support in Geodise.

UR - http://www.semanticgrid.org/GGF/ggf9/

M3 - Conference contribution

SP - 25

EP - 39

BT - Unknown Host Publication

T2 - The First GGF Semantic Grid Workshop, the Ninth Global Grid Forum

Y2 - 1 October 2003

ER -

Semantic Support for Grid-Enabled Design Search in Engineering

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Conference

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