activity
20102024
most citedSchema Matching with Large Language Models: an Experimental Study

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB20243 cited

Schema Matching with Large Language Models: an Experimental Study

Marcel Parciak, Brecht Vandevoort, Frank Neven +2

Large Language Models (LLMs) have shown useful applications in a variety of tasks, including data wrangling. In this paper, we investigate the use of an off-the-shelf LLM for schem…

cs.DB2024

When View- and Conflict-Robustness Coincide for Multiversion Concurrency Control

Brecht Vandevoort, Bas Ketsman, Frank Neven

A DBMS allows trading consistency for efficiency through the allocation of isolation levels that are strictly weaker than serializability. The robustness problem asks whether, for…

cs.DB20231 cited

Detecting Robustness against MVRC for Transaction Programs with Predicate Reads

Brecht Vandevoort, Bas Ketsman, Christoph Koch +1

The transactional robustness problem revolves around deciding whether, for a given workload, a lower isolation level than Serializable is sufficient to guarantee serializability. T…

cs.DB20151 cited

Parallel-Correctness and Transferability for Conjunctive Queries

Tom J. Ameloot, Gaetano Geck, Bas Ketsman +2

A dominant cost for query evaluation in modern massively distributed systems is the number of communication rounds. For this reason, there is a growing interest in single-round mul…

cs.DB2014

SCULPT: A Schema Language for Tabular Data on the Web

Wim Martens, Frank Neven, Stijn Vansummeren

Inspired by the recent working effort towards a recommendation by the World Wide Web Consortium (W3C) for tabular data and metadata on the Web, we present in this paper a concept f…

cs.DB2010

Learning Deterministic Regular Expressions for the Inference of Schemas from XML Data

Geert Jan Bex, Wouter Gelade, Frank Neven +1

Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of p…