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Towards the Semantic Grid: Enriching Content for Management and Reuse

Tao, F., Cox, S., Chen, L., Shadbolt, N., Xu, F., Puleston, C., Goble, C. and Song, W. (2003) Towards the Semantic Grid: Enriching Content for Management and Reuse. In: Delivering e-Science, UK e-Science All-hand Conference 2003, 2-4 September, 2003, Nottingham, UK.

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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.

Item Type:Conference or Workshop Item
Creator/Authors:
Feng Tao
Simon Cox
Liming Chen
Nigel Shadbolt
Fenglian Xu
Colin Puleston
Carole Goble
Wenbin Song
Research Group:Current ECS Groups > Web and Internet Science
Old ECS Groups > Intelligence, Agents, Multimedia
Date:2003
Information about this record:
Performance Indicator:EZ~08~03~04
Citations:Google Scholar: 11
Downloads (2010):7
ID Code:8187
Last Modified:23 Sep 2011 10:29
Deposited On:01 Sep 2003 by Tao, Feng

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References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

[1] Advanced Knowledge Technologies http://www.aktors.org

[2] The Anatomy of the Grid: Enabling Scalable Virtual Organizations, I. Foster, C. Kesselman, S. Tuecke. International J. Supercomputer Applications, 15(3), 2001, http://www.globus.org/research/papers/ogsa.pdf

[3] DAML+OIL homepage, http://www.daml.org

[4] L.Chen, S.J.Cox, C.Gobel, A.J.Keane, A.Roberts, N.R.Shadbolt, P.Smart, and F.Tao, "Engineering Knowledge for Engineering Grid Applications" EuroWeb2002 - The Web and the GRID: from e-science to e-business, Oxford, UK, http://www1.bcs.org.uk/DocsRepository/03700/3775/chen.pdf, 2002, pp. 12-25

[5] GEODISE project homepage http://www.geodise.org

[6] Feng Tao, Liming Chen, Nigel Shadbolt, Graeme Pound, and Simon Cox, "Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation" , proceeding of the 3rd International Conference on Knowledge Management (I-KNOW '03), Graz, Austria, July, 2003, page 555-566

[7] Chen, L, Shadbolt, N.R, Goble, C , Tao, F., Cox, S.J., Puleston, C., and Smart, P. Towards a Knowledge-based Approach to Semantic Service Composition, 2nd International Semantic Web Conference (ISWC2003), 20-23 October 2003, Florida, USA

[8] Generating dynamic user interfaces based on XML Schema, http://www.jaxfront.com/pages/home.html

[9] An Introduction to RDF and the Jena RDF API, http://www.hpl.hp.com/semweb/doc/tutorial/RDF_API/index.html

[10] Paolucci, M. Kawmura, T., Payne, T. and Sycara, K.: Semantic Matching of Web Services Capabilities. In The First International Semantic Web Conference (2002)

[11] A. Magkanaraki, G. Karvounarakis, T.T. Anh, V. Christophides, D. Plexousakis, “Ontology Storage and Querying”, Technical report No.308, April, 2002

[12] Sean Bechhofer, Ian Horrocks, Carole Goble, Robert Stevens. OilEd: a Reason-able Ontology Editor for the Semantic Web. Proceedings of KI2001, Joint German/Austrian conference on Artificial Intelligence, September 19-21, Vienna. Springer-Verlag LNAI Vol. 2174, pp 396--408. 2001.

[13] PC PACK Knowledge tool http://www.epistemics.co.uk/products/pcpack/

[14] Protégé homepage, http://protege.stanford.edu/index.html

[15] Graham Klyne and Jeremy J. Carroll, eds., Resource Description Framework (RDF): Concepts and Abstract Syntax. W3C Working Draft 23 January 2003. Latest version is available at http://www.w3.org/TR/rdf-concepts/

[16] Deborah L. McGuinness and Frank van Harmelen, eds., Web Ontology Language (OWL Lite and OWL) Feature Synopsis Version 1.0. W3C Working Draft 29 Jul 2002. Latest version is available at http://www.w3.org/TR/owl-features/

[17] G. Schreiber, H.Akkermans, A.Anjewierden, R.D.Hoog, N.Shadbolt, Van de Velde, and Wielinga, Chapter 8 (Knowledge-Elicitation Techniques), Knowledge Engineering and Management, The MIT Press, London, 2000.

[18] The Semantic Grid http://www.semanticgrid.org/

[19] XML spy homepage, http://www.xmlspy.com

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