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Authors: Said Jabbour ; Badran Raddaoui and Lakhdar Sais

Affiliation: University of Artois, France

Keyword(s): Knowledge Representation, Measuring Inconsistency, Pareto Optimality.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Representation and Reasoning ; Symbolic Systems

Abstract: Inconsistencies are a usually undesirable feature of many kinds of data and knowledge. Measuring inconsistency is potentially useful to determine which parts of the data or of the knowledge base are conflicting. Several measures have been proposed to quantify such inconsistencies. However, one of the main problems lies in the difficulty to compare their underlying quality. Indeed, a highly inconsistent knowledge base with respect to a given inconsistency measure can be considered less inconsistent using another one. In this paper, we propose a new framework allowing us to partition a set of knowledge bases as a sequence of subsets according to a set of inconsistency measures, where the first element of the partition corresponds to the most inconsistent one. Then we discuss how finer ranking between knowledge bases can be derived from an original combination of existing measures. Finally, we extend our framework to provide some inconsistency measures obtained by combining existing ones.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Jabbour, S.; Raddaoui, B. and Sais, L. (2015). Inconsistency-based Ranking of Knowledge Bases. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-074-1; ISSN 2184-433X, SciTePress, pages 414-419. DOI: 10.5220/0005210704140419

@conference{icaart15,
author={Said Jabbour. and Badran Raddaoui. and Lakhdar Sais.},
title={Inconsistency-based Ranking of Knowledge Bases},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2015},
pages={414-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005210704140419},
isbn={978-989-758-074-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Inconsistency-based Ranking of Knowledge Bases
SN - 978-989-758-074-1
IS - 2184-433X
AU - Jabbour, S.
AU - Raddaoui, B.
AU - Sais, L.
PY - 2015
SP - 414
EP - 419
DO - 10.5220/0005210704140419
PB - SciTePress

- Science and Technology Publications, Lda.
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