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Towards a Unified Framework for Syntactic Inconsistency Measures

De Bona, G; Grant, J; Hunter, A; Konieczny, S; (2018) Towards a Unified Framework for Syntactic Inconsistency Measures. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence. (pp. pp. 1803-1810). Association for the Advancement of Artificial Intelligence (AAAI): New Orleans, LA, USA. Green open access

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Abstract

A number of proposals have been made to define inconsistency measures. Each has its rationale. But to date, it is not clear how to delineate the space of options for measures, nor is it clear how we can classify measures systematically. In this paper, we introduce a general framework for comparing syntactic inconsistency measures. It uses the construction of an inconsistency graph for each knowledgebase. We then introduce abstractions of the inconsistency graph and use the hierarchy of the abstractions to classify a range of inconsistency measures.

Type: Proceedings paper
Title: Towards a Unified Framework for Syntactic Inconsistency Measures
Event: 32nd AAAI Conference on Artificial Intelligence
Location: New Orleans, LA, USA
Dates: 02 February 2018 - 07 February 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/pap...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: inconsistency measurement; syntactic measures
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10038808
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