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    Ontology-Based Feature Modeling for Construction Information Extraction from a Building Information Model

    Source: Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 005
    Author:
    Madhav Prasad Nepal
    ,
    Sheryl Staub-French
    ,
    Rachel Pottinger
    ,
    Jiemin Zhang
    DOI: 10.1061/(ASCE)CP.1943-5487.0000230
    Publisher: American Society of Civil Engineers
    Abstract: A building information model (BIM) provides a rich representation of a building’s design. However, there are many challenges in receiving construction-specific information from a BIM, limiting the usability of BIMs for construction and other downstream processes. This paper describes a novel approach that utilizes ontology-based feature modeling, automatic feature extraction based on a well-established AEC XML standard schema, and query processing to extract information relevant to construction practitioners from a given BIM. The feature ontology generically represents construction-specific information that is useful for a broad range of construction management functions. The software prototype uses the ontology to transform the designer-focused BIM into a construction-specific feature-based model (FBM). The formal query methods operate on the FBM to further help construction users to quickly extract the necessary information from a BIM. The tests demonstrate that this approach provides a richer representation of construction-specific information than existing BIM tools.
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      Ontology-Based Feature Modeling for Construction Information Extraction from a Building Information Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/59211
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    contributor authorMadhav Prasad Nepal
    contributor authorSheryl Staub-French
    contributor authorRachel Pottinger
    contributor authorJiemin Zhang
    date accessioned2017-05-08T21:40:41Z
    date available2017-05-08T21:40:41Z
    date copyrightSeptember 2013
    date issued2013
    identifier other%28asce%29cp%2E1943-5487%2E0000237.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59211
    description abstractA building information model (BIM) provides a rich representation of a building’s design. However, there are many challenges in receiving construction-specific information from a BIM, limiting the usability of BIMs for construction and other downstream processes. This paper describes a novel approach that utilizes ontology-based feature modeling, automatic feature extraction based on a well-established AEC XML standard schema, and query processing to extract information relevant to construction practitioners from a given BIM. The feature ontology generically represents construction-specific information that is useful for a broad range of construction management functions. The software prototype uses the ontology to transform the designer-focused BIM into a construction-specific feature-based model (FBM). The formal query methods operate on the FBM to further help construction users to quickly extract the necessary information from a BIM. The tests demonstrate that this approach provides a richer representation of construction-specific information than existing BIM tools.
    publisherAmerican Society of Civil Engineers
    titleOntology-Based Feature Modeling for Construction Information Extraction from a Building Information Model
    typeJournal Paper
    journal volume27
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000230
    treeJournal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian