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SEMANTIC NETWORKS FOR ENGINEERING DESIGN: A SURVEY
2021
Proceedings of the Design Society
AbstractThere have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in engineering design research. Therefore, the paper provides a survey of the research that has employed semantic networks in the engineering design research community. The survey reveals that engineering design researchers have primarily relied on WordNet, ConceptNet, and other common-sense
doi:10.1017/pds.2021.523
fatcat:np2v374bdjcvnkx67qgtnygmlq