A data-driven text mining and semantic network analysis for design information retrieval
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 242
- Type
- D - Journal article
- DOI
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10.1115/1.4037649
- Title of journal
- Journal of Mechanical Design
- Article number
- 111402
- First page
- -
- Volume
- 139
- Issue
- 11
- ISSN
- 1050-0472
- Open access status
- Access exception
- Month of publication
- October
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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10.1115/1.4037649
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This “WordNet” for design and engineering associations integrates text mining approaches to construct unsupervised learning ontology networks. The algorithm has been implemented in the B-Link software for information analysis and the Fibonacci software (Strategy Foresight Ltd) used by NATO. The framework was presented in two keynotes: UCAN2019 for Alibaba Design, and IEEE Information and Automation for Sustainability (ICIAfS2018). Grants arising include Data Centric Engineering, Alan Turing Institute (£171k) and CIRCUIT, Horizon 2020, (Euro 170k) on decision making in construction. Han is now lecturer at Liverpool.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -