Eliminating concepts and roles from ontologies in expressive descriptive logics
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 26
- Type
- D - Journal article
- DOI
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10.1111/j.1467-8640.2012.00442.x
- Title of journal
- Computational Intelligence
- Article number
- -
- First page
- 205
- Volume
- 30
- Issue
- 2
- ISSN
- 0824-7935
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- 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
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in a leading journal in artificial intelligence, rated A by ERA2010, the paper applies ideas from forgetting in the context of logic programming to description logic based ontology languages, a research line that has attracted significant interest in recent years. The paper has attracted a wide range of citations recognising its contribution to the concept of forgetting in description logics, for example it is used in Zhao’s thesis https://www.research.manchester.ac.uk/portal/files/67402446/FULL_TEXT.PDF as an exemplar of semantic forgetting (p14), pointing out that the paper’s novel method preserves the natural representation of ontologies (p42).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -