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    A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

    Source: Journal of Computing and Information Science in Engineering:;2006:;volume( 006 ):;issue: 002::page 103
    Author:
    Jyotirmaya Nanda
    ,
    Steven B. Shooter
    ,
    Timothy W. Simpson
    ,
    Soundar R. Kumara
    DOI: 10.1115/1.2190237
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The use of ontologies for information sharing is well documented in the literature, but the lack of a comprehensive and systematic methodology for constructing product ontologies has limited the process of developing ontologies for design artifacts. In this paper we introduce the Product Family Ontology Development Methodology (PFODM), a novel methodology to develop formal product ontologies using the Semantic Web paradigm. Within PFODM, Formal Concept Analysis (FCA) is used first to identify similarities among a finite set of design artifacts based on their properties and then to develop and refine a product family ontology using Web Ontology Language (OWL). A family of seven one-time-use cameras is used to demonstrate the steps of the PFODM to construct such an ontology. The benefit of PFODM lies in providing a systematic and consistent methodology for constructing ontologies to support product family design. The resulting ontologies provide a hierarchical conceptual clustering of related design artifacts, which is particularly advantageous for product family design where parts, processes, and most important, information is intentionally shared and reused to reduce complexity, lead-time, and development costs. Potential uses of the resulting ontologies and FCA representations within product family design are also discussed.
    keyword(s): Ontologies ,
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      A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

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    https://yetl.yabesh.ir/yetl1/handle/yetl/133333
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    contributor authorJyotirmaya Nanda
    contributor authorSteven B. Shooter
    contributor authorTimothy W. Simpson
    contributor authorSoundar R. Kumara
    date accessioned2017-05-09T00:19:13Z
    date available2017-05-09T00:19:13Z
    date copyrightJune, 2006
    date issued2006
    identifier issn1530-9827
    identifier otherJCISB6-25964#103_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/133333
    description abstractThe use of ontologies for information sharing is well documented in the literature, but the lack of a comprehensive and systematic methodology for constructing product ontologies has limited the process of developing ontologies for design artifacts. In this paper we introduce the Product Family Ontology Development Methodology (PFODM), a novel methodology to develop formal product ontologies using the Semantic Web paradigm. Within PFODM, Formal Concept Analysis (FCA) is used first to identify similarities among a finite set of design artifacts based on their properties and then to develop and refine a product family ontology using Web Ontology Language (OWL). A family of seven one-time-use cameras is used to demonstrate the steps of the PFODM to construct such an ontology. The benefit of PFODM lies in providing a systematic and consistent methodology for constructing ontologies to support product family design. The resulting ontologies provide a hierarchical conceptual clustering of related design artifacts, which is particularly advantageous for product family design where parts, processes, and most important, information is intentionally shared and reused to reduce complexity, lead-time, and development costs. Potential uses of the resulting ontologies and FCA representations within product family design are also discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language
    typeJournal Paper
    journal volume6
    journal issue2
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.2190237
    journal fristpage103
    journal lastpage113
    identifier eissn1530-9827
    keywordsOntologies
    treeJournal of Computing and Information Science in Engineering:;2006:;volume( 006 ):;issue: 002
    contenttypeFulltext
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