A decision support system for urban infrastructure inter-asset management employing domain ontologies and qualitative uncertainty-based reasoning
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-4661
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2020.113461
- Title of journal
- Expert Systems with Applications
- Article number
- 113461
- First page
- -
- Volume
- 158
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
https://doi.org/10.5518/190
- 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
-
10
- Research group(s)
-
B - AI (Artificial Intelligence)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper arose from the £5.7M Assessing the Underworld project (EP/K021699/1) with 57 partners, mostly from industry where Leeds were the sole computer scientists. This DSS was a major output of the project, and well received by the partners at the final dissemination workshop. Follow-on funding: EPSRC IAA award and £49k from Highways England for a thin-surface paving DSS (Phillip.Proctor@highwaysengland.co.uk). Also taken forward in a SBRI project with Acuity Robotics (j.liu@acuityrobotics.co.uk). An earlier paper on the soil ontology which underlies the ground ontology component was nominated for a best resources paper at ISWC-16.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
