Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110788
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dc.contributorSchool of Design-
dc.creatorCong, Y-
dc.creatorYu, S-
dc.creatorChu, J-
dc.creatorHuang, Y-
dc.creatorDing, N-
dc.creatorFang, C-
dc.creatorWang, SJ-
dc.date.accessioned2025-02-04T07:11:08Z-
dc.date.available2025-02-04T07:11:08Z-
dc.identifier.issn1474-0346-
dc.identifier.urihttp://hdl.handle.net/10397/110788-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Cong, Y., Yu, S., Chu, J., Huang, Y., Ding, N., Fang, C., & Wang, S. J. (2025). Enhancing novel product iteration: An integrated framework for heuristic ideation via interpretable conceptual design knowledge graph. Advanced Engineering Informatics, 65, 103131 is available at https://doi.org/10.1016/j.aei.2025.103131.en_US
dc.subjectConceptual product designen_US
dc.subjectDesign knowledgeen_US
dc.subjectHeuristic product ideationen_US
dc.subjectInterpretable knowledge graphen_US
dc.subjectNovel product iterationen_US
dc.titleEnhancing novel product iteration : an integrated framework for heuristic ideation via interpretable conceptual design knowledge graphen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume65-
dc.identifier.doi10.1016/j.aei.2025.103131-
dcterms.abstractNovel products emerge over time to survive the competitive landscape as no existing product can perpetually satisfy all evolving customer expectations. These products are often characterized by groundbreaking solutions previously unavailable on the market. However, the swift imitation of successful novel products by competitors underscores the need for sustained iteration and continuous improvement. Designers increasingly face challenges in keeping up to date with the growing volume and fragmented nature of design information from diverse sources. While knowledge graphs show promise in structuring and organizing complex design information, their effective application in the ideation process remains limited due to difficulties in automatic knowledge extraction and the lack of interpretability aligned well with designers’ cognitive processes. This study proposes an integrated method to construct an interpretable conceptual design knowledge graph (I-CDKG) that features both inherent and acquired interpretability for heuristic product ideation. First, the schema layer models product design knowledge and governs the semantic connection of design information reinforced by design cognition principles to create a reasonable organizational framework to foster intuitive knowledge exploration. Second, the data layer mainly fulfills automatic and smooth design knowledge extraction for I-CDKG construction through the deep learning ERNIE-BiGRU-CRF model combined with BIESO labeling mode and triple-extracting algorithm. Third, the application layer empowers designers to visually delve into interpretable design knowledge to locate inspiration from cluster, relation, and nest levels and enable constant I-CDKG expansion as design schemes proliferate. A case study on the smart cat litter box demonstrates the feasibility of the proposed methodology. The evaluation results confirm the I-CDKG’s advantages as a productive design tool for inspiring creative, practical, and cost-effective product ideations, thereby empowering the iterative development of competitive novel products.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvanced engineering informatics, May 2025, v. 65, pt. A, 103131-
dcterms.isPartOfAdvanced engineering informatics-
dcterms.issued2025-05-
dc.identifier.eissn1873-5320-
dc.identifier.artn103131-
dc.description.validate202502 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TAen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Project of China ; Hong Kong Polytechnic University’s Research Centre for Future (Caring) Mobility; University’s Strategic Importance Project; Project of Collaborative Research with World-leading Research Groupsen_US
dc.description.pubStatusPublisheden_US
dc.description.TAElsevier (2025)en_US
dc.description.oaCategoryTAen_US
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