دانلود مقاله انگلیسی رایگان:CACDA: یک گراف دانش برای دستیار طراحی شناختی زمینه آگاه - 2021
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  • CACDA: A knowledge graph for a context-aware cognitive design assistant CACDA: A knowledge graph for a context-aware cognitive design assistant
    CACDA: A knowledge graph for a context-aware cognitive design assistant

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    CACDA: A knowledge graph for a context-aware cognitive design assistant


    ترجمه فارسی عنوان مقاله:

    CACDA: یک گراف دانش برای دستیار طراحی شناختی زمینه آگاه


    منبع:

    ScienceDirect- Elsevier- Computers in Industry, 125 (2021) 103377: doi:10:1016/j:compind:2020:103377


    نویسنده:

    Armand Huet


    چکیده انگلیسی:

    The design of complex engineered systems highly relies on a laborious zigzagging between computeraided design (CAD) software and design rules prescribed by design manuals. Despite the emergence of knowledge management techniques (ontology, expert system, text mining, etc.), companies continue to store design rules in large and unstructured documents. To facilitate the integration of design rules and CAD software, we propose a knowledge graph that structures a large set of design rules in a computable format. The knowledge graph organises entities of design rules (nodes), relationships among design rules (edges), as well as contextual information. The categorisation of entities and relationships in four subcontexts: semantic, social, engineering, and IT – facilitates the development of the data model, especially the definition of the “design context” concept. The knowledge graph paves the way to a context-aware cognitive design assistant. Indeed, connected to or embedded in a CAD software, a context-aware cognitive design assistant will capture the design context in near real time and run reasoning operations on the knowledge graph to extend traditional CAD capabilities, such as the recommendation of design rules, the verification of design solutions, or the automation of design routines. Our validation experiment shows that the current version of the context-aware cognitive design assistant is more efficient than the traditional document-based design. On average, participants using an unstructured design rules document have a precision of 0.36 whereas participants using our demonstrator obtain a 0.61 precision score. Finally, designers supported by the design assistant spend more time designing than searching for applicable design rules compared to the traditional design approach.
    keywords: قانون طراحی | نمودار دانش | مدیریت دانش | آگاهی متقابل | دستیار شناختی | Design rule | Knowledge graph | Knowledge management | Context-awareness | Cognitive assistant


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 18
    حجم فایل: 4928 کیلوبایت

    قیمت: رایگان


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