activity
20122023
most citedProvenance Circuits for Trees and Treelike Instances (Extended Version)

44 citations · 138 across the 18 of their papers we have counts for

collaborators

25 papers

cs.DB2023

Ranked Enumeration for MSO on Trees via Knowledge Compilation

Antoine Amarilli, Pierre Bourhis, Florent Capelli +1

We study the problem of enumerating the satisfying assignments for circuit classes from knowledge compilation, where assignments are ranked in a specific order. In particular, we s…

cs.SE2023★ 2 cited

Reasoning on Feature Models: Compilation-Based vs. Direct Approaches

Pierre Bourhis, Laurence Duchien, Jérémie Dusart +3

Analyzing a Feature Model (FM) and reasoning on the corresponding configuration space is a central task in Software Product Line (SPL) engineering. Problems such as deciding the sa…

cs.LO2022

Query Answering with Transitive and Linear-Ordered Data

Antoine Amarilli, Michael Benedikt, Pierre Bourhis +1

We consider entailment problems involving powerful constraint languages such as frontier-guarded existential rules in which we impose additional semantic restrictions on a set of d…

cs.DB2022

Revisiting Semiring Provenance for Datalog

Camille Bourgaux, Pierre Bourhis, Liat Peterfreund +1

Data provenance consists in bookkeeping meta information during query evaluation, in order to enrich query results with their trust level, likelihood, evaluation cost, and more. Th…

cs.AI2022

Pseudo Polynomial-Time Top-k Algorithms for d-DNNF Circuits

Pierre Bourhis, Laurence Duchien, Jérémie Dusart +3

We are interested in computing most preferred models of a given d-DNNF circuit , where the preference relation is based on an algebraic structure called a monotone, totally…

cs.LO2020★ 8 cited

Containment in Monadic Disjunctive Datalog, MMSNP, and Expressive Description Logics

Pierre Bourhis, Carsten Lutz

We study query containment in three closely related formalisms: monadic disjunctive Datalog (MDDLog), MMSNP (a logical generalization of constraint satisfaction problems), and onto…