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  • Publications on TechNet

    TechNet is a very large technology semantic network. It consists of over 4 million technology-related terms and pairwise semantic relations between them. The terms are retrieved from unstructured texts in over 6 million U.S. patents from 1974 to date. These terms represent technological concepts regarding functions, components, materials, configurations or working mechanisms. Their pairwise semantic relations are calculated using a word embedding model and indicate the technical relevance between technological concepts. TechNet outperforms Google Knowledge Graph, WordNet and ConceptNet for knowledge retrieval, inference and represention tasks in the context of engineering and technology (1,2). TechNet is a digital knowledge infrastructure to support a wide range of engineering knowledge-based AI applications, technical language processing and engineering text analysis (3, 4, 5, 6). TechNet is freely accessible through open API. TechNet word embeddings are downloadable here.

    Construction of TechNet
     

    TechNet: Technology Semantic Network Based On Patent Data
    Serhad Sarica, Jianxi Luo, Kristin Wood
    Expert Systems with Applications, 142, 112995, 2020. Preprint, Database, API, Web Portal

     

    Semantic Networks for Engineering Design: State of the Art and Future Directions
    Ji Han, Serhad Sarica, Feng Shi, Jianxi Luo
    Journal of Mechanical Design (SI: AI and Engineering Design), 144(2): 020802, 2022. Preprint, Video

     

    TechNet 2.0: Expanding Technology Semantic Network with Qualitative Relations to Enhance Reasoning Capabilities
    Serhad Sarica, Jianxi Luo
    10th Conference on Design Computing and Cognition (DCC), Glasgow, UK, July 4-6, 2022. Preprint, Video

     

    Applications of TechNet

     

    Design Representation as Semantic Networks
    Serhad Sarica, Ji Han, Jianxi Luo
    Computers in Industry, Minor Revision & Resubmission, 2022

     

    Idea Generation with Technology Semantic Network
    Serhad Sarica, Binyang Song, Jianxi Luo, Kristin Wood
    Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 35(3), 2021, 265-283. Preprint

     

    Guiding Data-Driven Design Ideation by Knowledge Distance
    Jianxi Luo, Serhad Sarica, Kristin Wood
    Knowledge-Based Systems, 218, 106873, 2021. Preprint

     

    Design Knowledge Representation With Technology Semantic Network
    Serhad Sarica, Jianxi Luo
    International Conference on Engineering Design(ICED21), Gothenburg, Sweden. 2021. Preprint, Slides
     

    Engineering Knowledge Graph for Keyword Discovery in Patent Search
    Serhad Sarica, Song Binyang; En Low, Jianxi Luo
    International Conference on Engineering Design (ICED19), Delft, Netherlands, 2019

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    Technology Knowledge Graph for Design Exploration: Application to Designing the Future of Flying Cars
    Serhad Sarica, Binyang Song, Jianxi Luo
    ASME IDETC/CIE - Computers and Information in Engineering Conference, Anaheim, CA, 2019

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