Consequence-Based Reasoning for Description Logics with Disjunctions and Number Restrictions
- Submitting institution
-
University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2066
- Type
- D - Journal article
- DOI
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10.1613/jair.1.11257
- Title of journal
- The Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 625
- Volume
- 63
- Issue
- 2018
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- 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
-
5
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithms developed in this paper solve a long-standing open problem in consequence-based reasoning of how to handle disjunctions and number restrictions within a coherent framework. Moreover, they are the first to be both practically successful, yet worst-case optimal. This is important because it allows for a more predictable performance of ontology reasoning in practice. The conference version of the paper was in KR 2016.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -