Exploiting Semantics for e-Science on the Semantic Grid

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper we address the problem of exploiting semantics for e-Science [1] in the emerging future e-Science infrastructure - the Semantic Grid [2]. The discussion is taken 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 has incorporated a service-oriented distributed knowledge management framework for providing semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. Geodise resources including computational codes, capabilities and knowledge are semantically enriched using ontologies through annotations, thus facilitating seamless access, flexible interoperation and resource sharing on the Grid. We describe ontological engineering work and various approaches to semantic enrichment in Geodise. The semantically enriched content together with the Semantic Grid paradigm have been used as the foundation for the development of an ontology-enabled Geodise problem solving environment prototype (PSE). We have partially implemented the workflow construction environment in the Geodise PSE in which semantics is exploited to describe, discover and compose engineering computation resources for engineering problem-solving.
    LanguageEnglish
    Title of host publicationUnknown Host Publication
    Pages122-132
    Number of pages10
    Publication statusPublished - 22 Oct 2003
    EventThe Workshop on Knowledge Grid and Grid Intelligence in conjunction with the IEEE/WIC/ACM International Conference on Web Intelligence (WI2003) - Canada
    Duration: 22 Oct 2003 → …

    Workshop

    WorkshopThe Workshop on Knowledge Grid and Grid Intelligence in conjunction with the IEEE/WIC/ACM International Conference on Web Intelligence (WI2003)
    Period22/10/03 → …

    Fingerprint

    Semantics
    Ontology
    Grid computing
    Knowledge management

    Cite this

    Chen, L., Shadbolt, N. R., Tao, F., Breen, C., Goble, C., & Cox, S. J. (2003). Exploiting Semantics for e-Science on the Semantic Grid. In Unknown Host Publication (pp. 122-132)
    Chen, Liming ; Shadbolt, Nigel R. ; Tao, Feng ; Breen, Colin ; Goble, Carole ; Cox, Simon J. / Exploiting Semantics for e-Science on the Semantic Grid. Unknown Host Publication. 2003. pp. 122-132
    @inproceedings{e5f1aa25f3524c6ab822b4c395a3bf8a,
    title = "Exploiting Semantics for e-Science on the Semantic Grid",
    abstract = "In this paper we address the problem of exploiting semantics for e-Science [1] in the emerging future e-Science infrastructure - the Semantic Grid [2]. The discussion is taken 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 has incorporated a service-oriented distributed knowledge management framework for providing semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. Geodise resources including computational codes, capabilities and knowledge are semantically enriched using ontologies through annotations, thus facilitating seamless access, flexible interoperation and resource sharing on the Grid. We describe ontological engineering work and various approaches to semantic enrichment in Geodise. The semantically enriched content together with the Semantic Grid paradigm have been used as the foundation for the development of an ontology-enabled Geodise problem solving environment prototype (PSE). We have partially implemented the workflow construction environment in the Geodise PSE in which semantics is exploited to describe, discover and compose engineering computation resources for engineering problem-solving.",
    author = "Liming Chen and Shadbolt, {Nigel R.} and Feng Tao and Colin Breen and Carole Goble and Cox, {Simon J.}",
    year = "2003",
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    Chen, L, Shadbolt, NR, Tao, F, Breen, C, Goble, C & Cox, SJ 2003, Exploiting Semantics for e-Science on the Semantic Grid. in Unknown Host Publication. pp. 122-132, The Workshop on Knowledge Grid and Grid Intelligence in conjunction with the IEEE/WIC/ACM International Conference on Web Intelligence (WI2003), 22/10/03.

    Exploiting Semantics for e-Science on the Semantic Grid. / Chen, Liming; Shadbolt, Nigel R.; Tao, Feng; Breen, Colin; Goble, Carole; Cox, Simon J.

    Unknown Host Publication. 2003. p. 122-132.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Shadbolt, Nigel R.

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    AU - Breen, Colin

    AU - Goble, Carole

    AU - Cox, Simon J.

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    N2 - In this paper we address the problem of exploiting semantics for e-Science [1] in the emerging future e-Science infrastructure - the Semantic Grid [2]. The discussion is taken 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 has incorporated a service-oriented distributed knowledge management framework for providing semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. Geodise resources including computational codes, capabilities and knowledge are semantically enriched using ontologies through annotations, thus facilitating seamless access, flexible interoperation and resource sharing on the Grid. We describe ontological engineering work and various approaches to semantic enrichment in Geodise. The semantically enriched content together with the Semantic Grid paradigm have been used as the foundation for the development of an ontology-enabled Geodise problem solving environment prototype (PSE). We have partially implemented the workflow construction environment in the Geodise PSE in which semantics is exploited to describe, discover and compose engineering computation resources for engineering problem-solving.

    AB - In this paper we address the problem of exploiting semantics for e-Science [1] in the emerging future e-Science infrastructure - the Semantic Grid [2]. The discussion is taken 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 has incorporated a service-oriented distributed knowledge management framework for providing semantic and knowledge support. It uses ontologies as the conceptual backbone for information-level and knowledge-level computation. Geodise resources including computational codes, capabilities and knowledge are semantically enriched using ontologies through annotations, thus facilitating seamless access, flexible interoperation and resource sharing on the Grid. We describe ontological engineering work and various approaches to semantic enrichment in Geodise. The semantically enriched content together with the Semantic Grid paradigm have been used as the foundation for the development of an ontology-enabled Geodise problem solving environment prototype (PSE). We have partially implemented the workflow construction environment in the Geodise PSE in which semantics is exploited to describe, discover and compose engineering computation resources for engineering problem-solving.

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    Chen L, Shadbolt NR, Tao F, Breen C, Goble C, Cox SJ. Exploiting Semantics for e-Science on the Semantic Grid. In Unknown Host Publication. 2003. p. 122-132