Sébastien Konieczny

AI
h-index27
3papers
174citations
Novelty28%
AI Score20

3 Papers

1.2LOMay 5, 2022
Region-Based Merging of Open-Domain Terminological Knowledge

Zied Bouraoui, Sebastien Konieczny, Thanh Ma et al.

This paper introduces a novel method for merging open-domain terminological knowledge. It takes advantage of the Region Connection Calculus (RCC5), a formalism used to represent regions in a topological space and to reason about their set-theoretic relationships. To this end, we first propose a faithful translation of terminological knowledge provided by several and potentially conflicting sources into region spaces. The merging is then performed on these spaces, and the result is translated back into the underlying language of the input sources. Our approach allows us to benefit from the expressivity and the flexibility of RCC5 while dealing with conflicting knowledge in a principled way.

22.1AIFeb 2, 2016
A Comparative Study of Ranking-based Semantics for Abstract Argumentation

Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny et al.

Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such semantics have been proposed independently, often associated with some desirable properties. However, there is no comparative study which takes a broader perspective. This is what we propose in this work. We provide a general comparison of all these semantics with respect to the proposed properties. That allows to underline the differences of behavior between the existing semantics.