Automating the Semantic Mapping between Regulatory Guidelines and Organizational Processes
- Submitting institution
-
Oxford Brookes University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 185747048
- Type
- D - Journal article
- DOI
-
10.1007/s11761-016-0197-2
- Title of journal
- Service Oriented Computing and Applications
- Article number
- -
- First page
- 365
- Volume
- 10
- Issue
- -
- ISSN
- 1863-2386
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The significance of this work is the development of a novel methodology to automatically detect how company’s processes comply with the regulatory guidelines. The RegCMantic methodology provides the two ontologies that should be populated with the taxonomies of the specific domain regulations and processes as well as the information retrieval tools require to map the semantic relations between the regulatory legislation and processes. This work led to a multidisciplinary collaboration between the Engineering Science department at the University of Oxford and Oxford Brookes University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -