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Towards the semantic grid: putting knowledge to work in design optimisation

Towards the semantic grid: putting knowledge to work in design optimisation
Towards the semantic grid: putting knowledge to work in design optimisation
Modern computational Problem Solving Environments (PSEs) become more and more complex and knowledge intensive in terms of their integrated toolsets, in particular for engineering design search and optimization. Whether these toolsets can be assembled effectively to produce satisfactory results depends heavily on using the best domain practice and following decisions made by skilled engineers in practical situations. In this paper, a knowledge based approach is used to acquire this knowledge from existing sources and model it in a maintainable fashion. Ontologies are used to develop the conceptualization of a knowledge base. In order to reuse this knowledge to provide guidance at knowledge intensive points, we propose a knowledge based advisor, which can give a context-aware critique to guide users through effective operations of building domain workflows. The concept of a state panel is proposed to collect system state information, which is then reasoned about together with various task models in the JESS (Java Expert System Shell) environment. Two reasoning strategies are designed for different advising styles. A multilayer and client-server style architecture is proposed to illustrate how this advisor can be deployed to make available its knowledge advising service to a real workflow construction PSE in a maintainable fashion. Throughout we use the example of these knowledge services in the context of design optimization in engineering.
Knowledge engineering, ontology, XML, knowledge base, JESS, production rules, workflow planning
Tao, Feng
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Chen, Liming
8a6922ab-cadb-4eca-a2ef-d413d1974ccb
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Pound, Graeme
08828109-c9a9-4e58-8721-a07156526671
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Tao, Feng
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Chen, Liming
8a6922ab-cadb-4eca-a2ef-d413d1974ccb
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Pound, Graeme
08828109-c9a9-4e58-8721-a07156526671
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55

Tao, Feng, Chen, Liming, Shadbolt, Nigel, Pound, Graeme and Cox, Simon (2003) Towards the semantic grid: putting knowledge to work in design optimisation. I-KNOW '03 International Conference on Knowledge Management, Austria. 01 - 03 Jul 2003.

Record type: Conference or Workshop Item (Paper)

Abstract

Modern computational Problem Solving Environments (PSEs) become more and more complex and knowledge intensive in terms of their integrated toolsets, in particular for engineering design search and optimization. Whether these toolsets can be assembled effectively to produce satisfactory results depends heavily on using the best domain practice and following decisions made by skilled engineers in practical situations. In this paper, a knowledge based approach is used to acquire this knowledge from existing sources and model it in a maintainable fashion. Ontologies are used to develop the conceptualization of a knowledge base. In order to reuse this knowledge to provide guidance at knowledge intensive points, we propose a knowledge based advisor, which can give a context-aware critique to guide users through effective operations of building domain workflows. The concept of a state panel is proposed to collect system state information, which is then reasoned about together with various task models in the JESS (Java Expert System Shell) environment. Two reasoning strategies are designed for different advising styles. A multilayer and client-server style architecture is proposed to illustrate how this advisor can be deployed to make available its knowledge advising service to a real workflow construction PSE in a maintainable fashion. Throughout we use the example of these knowledge services in the context of design optimization in engineering.

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More information

Published date: 2003
Additional Information: Event Dates: July 2-4
Venue - Dates: I-KNOW '03 International Conference on Knowledge Management, Austria, 2003-07-01 - 2003-07-03
Keywords: Knowledge engineering, ontology, XML, knowledge base, JESS, production rules, workflow planning
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 257886
URI: http://eprints.soton.ac.uk/id/eprint/257886
PURE UUID: 1d31d8ea-fd6c-4858-acbb-14519abf95fc

Catalogue record

Date deposited: 26 Jun 2003
Last modified: 22 Sep 2020 16:52

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