activity
20172026
most citedDeciding Hyperproperties Combined with Functional Specifications

13 citations · 29 across the 10 of their papers we have counts for

collaborators

12 papers

cs.DB2026

A General Sufficient Condition for Rewriting Horn-ALCHI Atomic Queries into GQL

David Carral, Calixte Gruson, Quentin Manière

The emergence of the ISO standard GQL introduces a powerful query language extending first-order logic with controlled recursion, raising the question of its applicability to evalu…

cs.LO2023★ 2 cited

Do Repeat Yourself: Understanding Sufficient Conditions for Restricted Chase Non-Termination

Lukas Gerlach, David Carral

The disjunctive restricted chase is a sound and complete procedure for solving boolean conjunctive query entailment over knowledge bases of disjunctive existential rules. Alas, thi…

cs.AI2022

Normalisations of Existential Rules: Not so Innocuous!

David Carral, Lucas Larroque, Marie-Laure Mugnier +1

Existential rules are an expressive knowledge representation language mainly developed to query data. In the literature, they are often supposed to be in some normal form that simp…

cs.LO2022★ 13 cited

Deciding Hyperproperties Combined with Functional Specifications

Raven Beutner, David Carral, Bernd Finkbeiner +2

We study satisfiability for HyperLTL with a quantifier prefix, known to be highly undecidable in general. HyperLTL can express system properties that relate mu…

cs.LO2021

Capturing Homomorphism-Closed Decidable Queries with Existential Rules

Camille Bourgaux, David Carral, Markus Krötzsch +2

Existential rules are a very popular ontology-mediated query language for which the chase represents a generic computational approach for query answering. It is straightforward tha…

cs.DB2021

Materializing Knowledge Bases via Trigger Graphs

Efthymia Tsamoura, David Carral, Enrico Malizia +1

The chase is a well-established family of algorithms used to materialize Knowledge Bases (KBs), like Knowledge Graphs (KGs), to tackle important tasks like query answering under de…