Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation

Feng Tao, Liming Chen, Nigel R. Shadbolt, Graeme Pound, Simon J. Cox

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    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.
    LanguageEnglish
    Pages551-563
    JournalJournal of Universal Computer Science
    Volume9
    Issue number6
    Publication statusPublished - Aug 2003

    Fingerprint

    Semantics
    Expert systems
    Ontology
    Multilayers
    Servers
    Engineers
    Design optimization

    Cite this

    Tao, Feng ; Chen, Liming ; Shadbolt, Nigel R. ; Pound, Graeme ; Cox, Simon J. / Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation. In: Journal of Universal Computer Science. 2003 ; Vol. 9, No. 6. pp. 551-563.
    @article{cdc24706d8234528a27dedd4ecb4a903,
    title = "Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation",
    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.",
    author = "Feng Tao and Liming Chen and Shadbolt, {Nigel R.} and Graeme Pound and Cox, {Simon J.}",
    year = "2003",
    month = "8",
    language = "English",
    volume = "9",
    pages = "551--563",
    journal = "Journal of Universal Computer Science",
    issn = "0948-695X",
    number = "6",

    }

    Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation. / Tao, Feng; Chen, Liming; Shadbolt, Nigel R.; Pound, Graeme; Cox, Simon J.

    In: Journal of Universal Computer Science, Vol. 9, No. 6, 08.2003, p. 551-563.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Towards the Semantic Grid: Putting Knowledge to Work in Design Optimisation

    AU - Tao, Feng

    AU - Chen, Liming

    AU - Shadbolt, Nigel R.

    AU - Pound, Graeme

    AU - Cox, Simon J.

    PY - 2003/8

    Y1 - 2003/8

    N2 - 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.

    AB - 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.

    M3 - Article

    VL - 9

    SP - 551

    EP - 563

    JO - Journal of Universal Computer Science

    T2 - Journal of Universal Computer Science

    JF - Journal of Universal Computer Science

    SN - 0948-695X

    IS - 6

    ER -