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arXiv · 2407.20754

Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Bases

Meghyn Bienvenu·Camille Bourgaux·Robin Jean
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Abstract

In this paper, we explore a quantitative approach to querying inconsistent description logic knowledge bases. We consider weighted knowledge bases in which both axioms and assertions have (possibly infinite) weights, which are used to assign a cost to each interpretation based upon the axioms and assertions it violates. Two notions of certain and possible answer are defined by either considering interpretations whose cost does not exceed a given bound or restricting attention to optimal-cost interpretations. Our main contribution is a comprehensive analysis of the combined and data complexity of bounded cost satisfiability and certain and possible answer recognition, for description logics between ELbot and ALCO.

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Meghyn Bienvenu, Camille Bourgaux, Robin Jean. 2024-07-30. Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Bases. https://arxiv.org/abs/2407.20754

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