mlsanityData to 14 Oct 2026

Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective

arXiv 2510.00817 ↗First posted 1 Oct 2025cs.AI cs.LOcited by 0

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Abstract (arXiv)

Weighted-knowledge bases and cost-based semantics represent a recent formalism introduced by Bienvenu et al. for Ontology Mediated Data Querying in the case where a given knowledge base is inconsistent. This is done by adding a weight to each statement in the knowledge base (KB), and then giving each DL interpretation a cost based on how often it breaks rules in the KB. In this paper we compare this approach with c-representations, a form of non-monotonic reasoning originally introduced by Kern-Isberner. c-Representations describe a means to interpret defeasible concept inclusions in the first-order case. This is done by assigning a numerical ranking to each interpretations via penalties for each violated conditional. We compare these two approaches on a semantic level. In particular, we show that under certain conditions a weighted knowledge base and a set of defeasible conditionals can generate the same ordering on interpretations, and therefore an equivalence of semantic structures up to relative cost. Moreover, we compare entailment described in both cases, where certain notions are equivalently expressible in both formalisms. Our results have the potential to benefit further work on both cost-based semantics and c-representations

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References · 4

  1. 2018A Polynomial Time Subsumption Algorithm for Nominal Safe ELO_bot under Rational Closurecited by 8
  2. 2020Axiom Pinpointingcited by 7
  3. 2014The Complexity of Circumscription in DLscited by 3
  4. 2024Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Basescited by 2

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