Rethinking Defeasible Reasoning : A Scalable Approach
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 58
- Type
- D - Journal article
- DOI
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10.1017/S1471068420000010
- Title of journal
- Theory and Practice of Logic Programming
- Article number
- -
- First page
- 552
- Volume
- 20
- Issue
- 4
- ISSN
- 1471-0684
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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- 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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4
- Research group(s)
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-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the top journal in logic programming, (ERA2010 rank A, Scimago Q1 in Computational Theory), the paper demonstrates for the first time a method which scales defeasible reasoning with recursion to potentially billons of facts. Obtained in the context of the EU-funded project MIREL (https://www.mirelproject.eu/), the content played a prominent role in the delivery of an invited talk on semantics and reasoning in the big data era, delivered by Antoniou at 21st International Conference on Web Information Systems Engineering WISE 2020 (http://wasp.cs.vu.nl/WISE2020/keynote.html).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -