Print Email Facebook Twitter Design knowledge graph-aided conceptual product design approach based on joint entity and relation extraction Title Design knowledge graph-aided conceptual product design approach based on joint entity and relation extraction Author Huang, Y. (TU Delft Design Conceptualization and Communication; Northwestern Polytechnical University) Yu, Suihuai (Northwestern Polytechnical University) Chu, Jianjie (Northwestern Polytechnical University) Su, Zhaojing (Shandong University of Science and Technology) Zhu, Yaokang (East China Normal University) Wang, Hanyu (Northwestern Polytechnical University) Wang, Mengcheng (Northwestern Polytechnical University) Fan, Hao (Northwestern Polytechnical University) Date 2023 Abstract Design knowledge is critical to creating ideas in the conceptual design stage of product development for innovation. Fragmentary design data, massive multidisciplinary knowledge call for the development of a novel knowledge acquisition approach for conceptual product design. This study proposes a Design Knowledge Graph-aided (DKG-aided) conceptual product design approach for knowledge acquisition and design process improvement. The DKG framework uses a deep-learning algorithm to discover design-related knowledge from massive fragmentary data and constructs a knowledge graph for conceptual product design. The joint entity and relation extraction model is proposed to automatically extract design knowledge from massive unstructured data. The feasibility and high accuracy of the proposed design knowledge extraction model were demonstrated with experimental comparisons and the validation of the DKG in the case study of conceptual product design inspired by massive real data of porcelain. Subject Conceptual product designdeep learningdesign knowledge graphjoint entity and relation extractionknowledge acquisition To reference this document use: http://resolver.tudelft.nl/uuid:52379047-045d-44bc-aac7-75f871a62489 DOI https://doi.org/10.3233/JIFS-223100 Embargo date 2023-12-09 ISSN 1064-1246 Source Journal of Intelligent and Fuzzy Systems, 44 (3), 5333-5355 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Y. Huang, Suihuai Yu, Jianjie Chu, Zhaojing Su, Yaokang Zhu, Hanyu Wang, Mengcheng Wang, Hao Fan Files PDF ifs_44_ifs223100_1_.pdf 3.2 MB Close viewer /islandora/object/uuid:52379047-045d-44bc-aac7-75f871a62489/datastream/OBJ/view