Hao, Jia, Zhao, Lei, Milisavljevic-Syed, Jelena and Ming, Zhenjun
(2021)
Integrating and navigating engineering design decision-related knowledge using decision knowledge graph.
ADVANCED ENGINEERING INFORMATICS, 50.
p. 101366.
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Abstract
Designers are usually facing a problem of finding information from a huge amount of unstructured textual documents in order to prepare for a decision to be made. The major challenge is that knowledge embedded in the textual documents are difficult to search at a semantic level and therefore not ready to support decisions in a timely manner. To address this challenge, in this paper we propose a knowledge-graph-based method for integrating and navigating decision-related knowledge in engineering design. The presented method is based on a meta-model of decision knowledge graph (mDKG) that is grounded in the compromise Decision Support Problem (cDSP) construct which is used by designers as a means to formulate design decisions linguistically and mathematically. Based on the mDKG, we propose a procedure for automatically converting word-based cDSPs to knowledge graph through natural language processing, and a procedure for rapidly and accurately navigating decision-related knowledge through divergence and convergence processes. The knowledge-graph-based method is verified using the textual data from the supply chain design domain. Results show that our method has better performance than the conventional keyword-based searching method in terms of both effectiveness and efficiency in finding the target knowledge.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Design, Decision support, Knowledge graph, Searching, Navigation |
| Divisions: | Faculty of Science and Engineering > School of Engineering |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Aug 2021 09:35 |
| Last Modified: | 18 Jan 2023 21:34 |
| DOI: | 10.1016/j.aei.2021.101366 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3131697 |
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