SEMANTIC NETWORKS FOR ENGINEERING DESIGN: A SURVEY

Han, Ji ORCID: 0000-0003-3240-4942, Sarica, Serhad, Shi, Feng and Luo, Jianxi (2021) SEMANTIC NETWORKS FOR ENGINEERING DESIGN: A SURVEY. In: 23rd International Conference on Engineering Design, 2021-8-16 - 2021-8-20, Gothenburg.

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Abstract

<jats:title>Abstract</jats:title><jats:p>There 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 semantic network databases trained on non-engineering data sources to develop methods or tools for engineering design. Meanwhile, there are emerging efforts to mine large scale technical publication and patent databases to construct engineering-contextualized semantic network databases, e.g., B-Link and TechNet, to support NLP in engineering design. On this basis, we recommend future research directions for the construction and applications of engineering-related semantic networks in engineering design research and practice.</jats:p>

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Networking and Information Technology R&D (NITRD)
Divisions:	Faculty of Science and Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	10 Jun 2021 07:41
Last Modified:	15 Mar 2024 12:18
DOI:	10.1017/pds.2021.523
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3125743