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Recent advancements in transformer-based language models have sparked research into their logical reasoning capabilities. Most of the benchmarks used to evaluate these models are simple: generated from short (fragments of) first-order logic…

Computation and Language · Computer Science 2024-10-15 Angelos Poulis , Eleni Tsalapati , Manolis Koubarakis

Logical frameworks based on intuitionistic or linear logics with higher-type quantification have been successfully used to give high-level, modular, and formal specifications of many important judgments in the area of programming languages…

Logic in Computer Science · Computer Science 2007-05-23 Raymond C. McDowell , Dale A. Miller

It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are a family of knowledge representation languages that have…

Artificial Intelligence · Computer Science 2011-11-02 I. Horrocks , J. Z. Pan , G. Stamou , G. Stoilos , V. Tzouvaras

Description logics (DL) are a family of formal languages for representing and reasoning about structured knowledge in terms of concepts and their relationships. A central reasoning problem in DL is concept subsumption. Although this problem…

Logic in Computer Science · Computer Science 2026-05-14 Michał Henne , Barbara Morawska , Paweł Parys

Optimization techniques play a significant role in improving description logic reasoners covering the Web Ontology Language (OWL). These techniques are essential to speed up these reasoners. Many of the optimization techniques are based on…

Artificial Intelligence · Computer Science 2018-10-26 Razieh Mehri , Volker Haarslev , Hamidreza Chinaei

We present a generic framework that facilitates object level reasoning with logics that are encoded within the Higher Order Logic theorem proving environment of HOL Light. This involves proving statements in any logic using intuitive…

Logic in Computer Science · Computer Science 2021-01-12 Petros Papapanagiotou , Jacques Fleuriot

We propose a novel approach for answering and explaining multiple-choice science questions by reasoning on grounding and abstract inference chains. This paper frames question answering as an abductive reasoning problem, constructing…

Artificial Intelligence · Computer Science 2020-10-27 Mokanarangan Thayaparan , Marco Valentino , André Freitas

This paper presents a study of operational and type-theoretic properties of different resolution strategies in Horn clause logic. We distinguish four different kinds of resolution: resolution by unification (SLD-resolution), resolution by…

Logic in Computer Science · Computer Science 2016-10-31 Peng Fu , Ekaterina Komendantskaya

Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Expressive role constructors are important in many applications, but can…

Logic in Computer Science · Computer Science 2007-05-23 Ian Horrocks , Ulrike Sattler , Stephan Tobies

We study bisimulations for useful description logics. The simplest among the considered logics is $\mathcal{ALC}_{reg}$ (a variant of PDL). The others extend that logic with inverse roles, nominals, quantified number restrictions, the…

Logic in Computer Science · Computer Science 2015-02-20 Ali Rezaei Divroodi , Linh Anh Nguyen

Deontic logic is a very well researched branch of mathematical logic and philosophy. Various kinds of deontic logics are discussed for different application domains like argumentation theory, legal reasoning, and acts in multi-agent…

Artificial Intelligence · Computer Science 2018-09-17 Ulrich Furbach , Claudia Schon , Frieder Stolzenburg

Concrete domains, especially those that allow to compare features with numeric values, have long been recognized as a very desirable extension of description logics (DLs), and significant efforts have been invested into adding them to usual…

Artificial Intelligence · Computer Science 2020-06-04 Nadia Labai , Magdalena Ortiz , Mantas Šimkus

Reasoning with minimal models has always been at the core of many knowledge representation techniques, but we still have only a limited understanding of this problem in Description Logics (DLs). Minimization of some selected predicates,…

Artificial Intelligence · Computer Science 2025-08-08 Federica Di Stefano , Quentin Manière , Magdalena Ortiz , Mantas Šimkus

We present a mechanized embedding of higher-order logic (HOL) and algebraic data types (ADT) into first-order logic with ZFC axioms. We implement this in the Lisa proof assistant for schematic first-order logic and its library based on…

Logic in Computer Science · Computer Science 2024-03-21 Simon Guilloud , Sankalp Gambhir , Andrea Gilot , Viktor Kunčak

The complexities of table structures and question logic make table-based question answering (TQA) tasks challenging for Large Language Models (LLMs), often requiring task simplification before solving. This paper reveals that the reasoning…

Computation and Language · Computer Science 2025-04-22 Ruya Jiang , Chun Wang , Weihong Deng

OWL ontologies, whose formal semantics are rooted in Description Logic (DL), have been widely used for knowledge representation. Similar to Knowledge Graphs (KGs), ontologies are often incomplete, and maintaining and constructing them has…

Artificial Intelligence · Computer Science 2024-03-26 Mathias Jackermeier , Jiaoyan Chen , Ian Horrocks

The problem of explaining inconsistency-tolerant reasoning in knowledge bases (KBs) is a prominent topic in Artificial Intelligence (AI). While there is some work on this problem, the explanations provided by existing approaches often lack…

Artificial Intelligence · Computer Science 2025-02-18 Loan Ho , Stefan Schlobach

We define the notion of rational closure in the context of Description Logics extended with a tipicality operator. We start from ALC+T, an extension of ALC with a typicality operator T: intuitively allowing to express concepts of the form…

Artificial Intelligence · Computer Science 2013-05-07 Laura Giordano , Valentina Gliozzi , Nicola Olivetti , Gian Luca Pozzato

Large language models (LLMs) have shown impressive performance in reasoning benchmarks with the emergence of Chain-of-Thought (CoT), particularly in multi-choice question (MCQ). However, current works equally resolve questions regardless of…

Computation and Language · Computer Science 2024-04-04 Zijie Meng , Yan Zhang , Zhaopeng Feng , Zuozhu Liu

The SPARQL query language is currently being extended by the World Wide Web Consortium (W3C) with so-called entailment regimes. An entailment regime defines how queries are evaluated under more expressive semantics than SPARQLs standard…

Databases · Computer Science 2014-02-05 Ilianna Kollia , Birte Glimm