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20082025
most citedGeneral and Fractional Hypertree Decompositions: Hard and Easy Cases

14 citations · 43 across the 14 of their papers we have counts for

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cs.DB2023

SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog [Experiment, Analysis and Benchmark]

Renzo Angles, Georg Gottlob, Aleksandar Pavlovic +2

Over the past decade, Knowledge Graphs have received enormous interest both from industry and from academia. Research in this area has been driven, above all, by the Database (DB)…

cs.DB2023★ 3 cited

Structure-Guided Query Evaluation: Towards Bridging the Gap from Theory to Practice

Georg Gottlob, Matthias Lanzinger, Davide Mario Longo +3

Join queries involving many relations pose a severe challenge to today's query optimisation techniques. To some extent, this is due to the fact that these techniques do not pay suf…

cs.DB2023

Diversity of Answers to Conjunctive Queries

Timo Camillo Merkl, Reinhard Pichler, Sebastian Skritek

Enumeration problems aim at outputting, without repetition, the set of solutions to a given problem instance. However, outputting the entire solution set may be prohibitively expen…

cs.DB2022★ 2 cited

Integration of Skyline Queries into Spark SQL

Lukas Grasmann, Reinhard Pichler, Alexander Selzer

Skyline queries are frequently used in data analytics and multi-criteria decision support applications to filter relevant information from big amounts of data. Apache Spark is a po…

cs.DB2022

Optimizing Recursive Queries with Program Synthesis

Yisu Remy Wang, Mahmoud Abo Khamis, Hung Q. Ngo +2

Most work on query optimization has concentrated on loop-free queries. However, data science and machine learning workloads today typically involve recursive or iterative computati…

cs.DB2021

Convergence of Datalog over (Pre-) Semirings

Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler +2

Recursive queries have been traditionally studied in the framework of datalog, a language that restricts recursion to monotone queries over sets, which is guaranteed to converge in…