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From the 1 of 7 linked papers with an AI index.

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20242026
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cs.DB2025

Selective Use of Yannakakis' Algorithm to Improve Query Performance: Machine Learning to the Rescue

Daniela Böhm, Georg Gottlob, Matthias Lanzinger +4

Query optimization has played a central role in database research for decades. However, more often than not, the proposed optimization techniques lead to a performance improvement…

cs.DB2025

Towards Practicable Algorithms for Rewriting Graph Queries beyond DL-Lite

Bianca Löhnert, Nikolaus Augsten, Cem Okulmus +1

Despite the many advantages that ontology-based data access (OBDA) has brought to a range of application domains, state-of-the-art OBDA systems still do not support popular graph d…

cs.DB2025

Soft and Constrained Hypertree Width

Matthias Lanzinger, Cem Okulmus, Reinhard Pichler +2

Hypertree decompositions provide a way to evaluate Conjunctive Queries (CQs) in polynomial time, where the exponent of this polynomial is determined by the width of the decompositi…

cs.DB2025

Common Foundations for SHACL, ShEx, and PG-Schema

S. Ahmetaj, I. Boneva, J. Hidders +11

Graphs have emerged as an important foundation for a variety of applications, including capturing and reasoning over factual knowledge, semantic data integration, social networks,…

cs.DB2024

Expressive Power and Complexity Results for SIGNAL, an Industry-scale Process Query Language

Timotheus Kampik, Cem Okulmus

With the increased adoption of process mining, there is also a need for practical solutions that work at industry scales. In this context, process querying methods (PQMs) have emer…