Weighted Conditional EL^bot Knowledge Bases with Integer Weights: an ASP Approach

Laura Giordano
(DISIT, Università del Piemonte Orientale, Italy)
Daniele Theseider Dupré
(DISIT, Università del Piemonte Orientale, Italy)

Weighted knowledge bases for description logics with typicality have been recently considered under a "concept-wise" multipreference semantics (in both the two-valued and fuzzy case), as the basis of a logical semantics of Multilayer Perceptrons. In this paper we consider weighted conditional EL^bot knowledge bases in the two-valued case, and exploit ASP and asprin for encoding concept-wise multipreference entailment for weighted KBs with integer weights.

In Andrea Formisano, Yanhong Annie Liu, Bart Bogaerts, Alex Brik, Veronica Dahl, Carmine Dodaro, Paul Fodor, Gian Luca Pozzato, Joost Vennekens and Neng-Fa Zhou: Proceedings 37th International Conference on Logic Programming (Technical Communications) (ICLP 2021), Porto (virtual event), 20-27th September 2021, Electronic Proceedings in Theoretical Computer Science 345, pp. 70–76.
Published: 17th September 2021.

ArXived at: http://dx.doi.org/10.4204/EPTCS.345.19 bibtex PDF
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