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20182022
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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.DB2020

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries

Pierre Bourhis, Daniel Deutch, Yuval Moskovitch

The algebraic approach for provenance tracking, originating in the semiring model of Green et. al, has proven useful as an abstract way of handling metadata. Commutative Semirings…

cs.DB2018

Enumeration on Trees with Tractable Combined Complexity and Efficient Updates

Antoine Amarilli, Pierre Bourhis, Stefan Mengel +1

We give an algorithm to enumerate the results on trees of monadic second-order (MSO) queries represented by nondeterministic tree automata. After linear time preprocessing (in the…

cs.DB2018

Evaluating Datalog via Tree Automata and Cycluits

Antoine Amarilli, Pierre Bourhis, Mikaël Monet +1

We investigate parameterizations of both database instances and queries that make query evaluation fixed-parameter tractable in combined complexity. We show that clique-frontier-gu…

cs.DB2018

Constant-Delay Enumeration for Nondeterministic Document Spanners

Antoine Amarilli, Pierre Bourhis, Stefan Mengel +1

We consider the information extraction framework known as document spanners, and study the problem of efficiently computing the results of the extraction from an input document, wh…