Enriching the semantics of variational geometric constraint data with ontology
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 83
- Type
- D - Journal article
- DOI
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10.1016/j.cad.2014.12.008
- Title of journal
- CAD Computer Aided Design
- Article number
- -
- First page
- 72
- Volume
- 63
- Issue
- -
- ISSN
- 0010-4485
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- 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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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The use and implementation of geometrical product knowledge across: design, manufacturing, inspection, and through-life usage is a critical problem in smart manufacturing. A pioneering post-ontology approach, is presented, to enrich the semantics of variational geometric constraint data, particularly in product data in product development systems. Through this research, the major challenges of this approach are recognised, resulting in an active collaboration with the Information Technology Lab of NIST (Prof Eswaran Subrahmanian, es3e@andrew.cmu.edu) and subsequent research started for the next generation of smart manufacturing and measurement models to be ultimately used by Renishaw geoff.mcfarland@renishaw.com for a future Renishaw autonomous production line
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
