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20132026
most citedOntology-based Data Access: A Study through Disjunctive Datalog, CSP, and MMSNP

55 citations · 205 across the 30 of their papers we have counts for

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13 papers · 1 filter

cs.LO2026

Using ASP(Q) to Handle Inconsistent Prioritized Data

Meghyn Bienvenu, Camille Bourgaux, Robin Jean +1

We explore the use of answer set programming (ASP) and its extension with quantifiers, ASP(Q), for inconsistency-tolerant querying of prioritized data, where a priority relation be…

cs.LO2025

A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases

Meghyn Bienvenu, Camille Bourgaux, Katsumi Inoue +1

Repair-based semantics have been extensively studied as a means of obtaining meaningful answers to queries posed over inconsistent knowledge bases (KBs). While several works have c…

cs.LO2025

Inconsistency Handling in DatalogMTL

Meghyn Bienvenu, Camille Bourgaux, Atefe Khodadaditaghanaki

In this paper, we explore the issue of inconsistency handling in DatalogMTL, an extension of Datalog with metric temporal operators. Since facts are associated with time intervals,…

cs.LO2024★ 1 cited

Abductive Reasoning in a Paraconsistent Framework

Meghyn Bienvenu, Katsumi Inoue, Daniil Kozhemiachenko

We explore the problem of explaining observations starting from a classically inconsistent theory by adopting a paraconsistent framework. We consider two expansions of the well-kno…

cs.LO2024

Queries With Exact Truth Values in Paraconsistent Description Logics

Meghyn Bienvenu, Camille Bourgaux, Daniil Kozhemiachenko

We present a novel approach to querying classical inconsistent description logic (DL) knowledge bases by adopting a~paraconsistent semantics with the four Belnapian values: exactly…

cs.LO2024

Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Bases

Meghyn Bienvenu, Camille Bourgaux, Robin Jean

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 assertio…

cs.LO2023★ 2 cited

Combining Global and Local Merges in Logic-based Entity Resolution

Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto +1

In the recently proposed Lace framework for collective entity resolution, logical rules and constraints are used to identify pairs of entity references (e.g. author or paper ids) t…

cs.LO2022★ 2 cited

Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments

Meghyn Bienvenu, Camille Bourgaux

We investigate practical algorithms for inconsistency-tolerant query answering over prioritized knowledge bases, which consist of a logical theory, a set of facts, and a priority r…

cs.LO2020

Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation

Meghyn Bienvenu, Camille Bourgaux

In this paper, we explore the issue of inconsistency handling over prioritized knowledge bases (KBs), which consist of an ontology, a set of facts, and a priority relation between…

cs.LO2018★ 15 cited

Finite LTL Synthesis with Environment Assumptions and Quality Measures

Alberto Camacho, Meghyn Bienvenu, Sheila A. McIlraith

In this paper, we investigate the problem of synthesizing strategies for linear temporal logic (LTL) specifications that are interpreted over finite traces -- a problem that is cen…

cs.LO2016★ 3 cited

Theoretically Optimal Datalog Rewritings for OWL 2 QL Ontology-Mediated Queries

Meghyn Bienvenu, Stanislav Kikot, Roman Kontchakov +2

We show that, for OWL 2 QL ontology-mediated queries with (i) ontologies of bounded depth and conjunctive queries of bounded treewidth, (ii) ontologies of bounded depth and bounded…

cs.LO2014★ 32 cited

Nested Regular Path Queries in Description Logics

Meghyn Bienvenu, Diego Calvanese, Magdalena Ortiz +1

Two-way regular path queries (2RPQs) have received increased attention recently due to their ability to relate pairs of objects by flexibly navigating graph-structured data. They a…

cs.LO2014★ 16 cited

Prime Implicates and Prime Implicants: From Propositional to Modal Logic

Meghyn Bienvenu

Prime implicates and prime implicants have proven relevant to a number of areas of artificial intelligence, most notably abductive reasoning and knowledge compilation. The purpose…