DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLi, Xen_US
dc.creatorLyu, Men_US
dc.creatorWang, Zen_US
dc.creatorChen, CHen_US
dc.creatorZheng, Pen_US
dc.date.accessioned2021-11-09T07:30:08Z-
dc.date.available2021-11-09T07:30:08Z-
dc.identifier.issn0166-3615en_US
dc.identifier.urihttp://hdl.handle.net/10397/91592-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectKnowledge graphen_US
dc.subjectProduct developmenten_US
dc.subjectService innovationen_US
dc.subjectKnowledge managementen_US
dc.subjectProduct-service systemsen_US
dc.subjectReviewen_US
dc.titleExploiting knowledge graphs in industrial products and services : a survey of key aspects, challenges, and future perspectivesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume129en_US
dc.identifier.doi10.1016/j.compind.2021.103449en_US
dcterms.abstractThe rapid development of information and communication technologies has enabled a value co-creation paradigm for developing industrial products and services, where massive heterogeneous data and multidisciplinary knowledge are generated and leveraged. In this context, Knowledge Graph (KG) emerges as a promising tool to elicit, fuse, process, and utilize numerous entities and relationships embedded in products and services, as well as their stakeholders. Nevertheless, to the best of the authors’ knowledge, there is scarcely any comprehensive and thorough discussion about making full use of KG’s potentials to solve pain points of product development and service innovation in the industry. Aiming to fill this gap, this paper conducted a systematic survey of KG exploitations in industrial products and services and the customizations towards higher adaptability to practices. The authors selected 119 representative papers (up to 10/03/2021) together with other 29 supplementary works to summarize the technical and practical efforts and discuss the current challenges of exploiting KG in industrial products and services. Meantime, this work also highlights enhancing KG’s availability and boosting its productivity in industrial products and services development as the core future perspectives to explore. It is hoped that this work can provide a basis for the explorations and implementations of KG-supported industrial product and services development, and attract more open discussions to the exploitation of KG-enabled industrial information systems.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationComputers in industry, Aug. 2021, v. 129, 103449en_US
dcterms.isPartOfComputers in industryen_US
dcterms.issued2021-08-
dc.identifier.isiWOS:000648879500004-
dc.identifier.artn103449en_US
dc.description.validate202111 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1047-n09-
dc.identifier.SubFormID43850-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work is conducted within the Delta-NTU Corporate Lab for Cyber-Physical Systems with funding support from Delta Electronics Inc and the National Research Foundation (NRF) Singapore under the Corporate Laboratory @ University Scheme (Ref. RCA-16/434; SCO-RP1) at Nanyang Technological University, Singapore.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2023.08.31en_US
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