activity
20062022
most citedThe Future is Big Graphs! A Community View on Graph Processing Systems

157 citations · 284 across the 16 of their papers we have counts for

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Showing cs.DBShow all

13 papers · 1 filter

cs.DB2022★ 77 cited

PG-Schema: Schemas for Property Graphs

Renzo Angles, Angela Bonifati, Stefania Dumbrava +18

Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO standardization effort aiming at creating a ne…

cs.DB2022★ 1 cited

GPC: A Pattern Calculus for Property Graphs

Nadime Francis, Amélie Gheerbrant, Paolo Guagliardo +7

The development of practical query languages for graph databases runs well ahead of the underlying theory. The ISO committee in charge of database query languages is currently deve…

cs.DB2021

Graph Pattern Matching in GQL and SQL/PGQ

Alin Deutsch, Nadime Francis, Alastair Green +15

As graph databases become widespread, JTC1 -- the committee in joint charge of information technology standards for the International Organization for Standardization (ISO), and In…

cs.DB2021

Threshold Queries in Theory and in the Wild

Angela Bonifati, Stefania Dumbrava, George Fletcher +7

Threshold queries are an important class of queries that only require computing or counting answers up to a specified threshold value. To the best of our knowledge, threshold queri…

cs.DB2020★ 8 cited

Holding a Conference Online and Live due to COVID-19

Angela Bonifati, Giovanna Guerrini, Carsten Lutz +6

The joint EDBT/ICDT conference (International Conference on Extending Database Technology/International Conference on Database Theory) is a well established conference series on da…

cs.DB2020★ 5 cited

The Complexity of Aggregates over Extractions by Regular Expressions

Johannes Doleschal, Benny Kimelfeld, Wim Martens

Regular expressions with capture variables, also known as regex-formulas, extract relations of spans (intervals identified by their start and end indices) from text. In turn, the c…

cs.DB2019★ 2 cited

Weight Annotation in Information Extraction

Johannes Doleschal, Benny Kimelfeld, Wim Martens +1

The framework of document spanners abstracts the task of information extraction from text as a function that maps every document (a string) into a relation over the document's span…

cs.DB2018

Split-Correctness in Information Extraction

Johannes Doleschal, Benny Kimelfeld, Wim Martens +2

Programs for extracting structured information from text, namely information extractors, often operate separately on document segments obtained from a generic splitting operation s…

cs.DB2017

Enumeration Problems for Regular Path Queries

Wim Martens, Tina Trautner

Evaluation of regular path queries (RPQs) is a central problem in graph databases. We investigate the corresponding enumeration problem, that is, given a graph and an RPQ, enumerat…

cs.DB2017★ 3 cited

An Analytical Study of Large SPARQL Query Logs

Angela Bonifati, Wim Martens, Thomas Timm

With the adoption of RDF as the data model for Linked Data and the Semantic Web, query specification from end- users has become more and more common in SPARQL end- points. In this…

cs.DB2017★ 14 cited

Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)

Serge Abiteboul, Marcelo Arenas, Pablo Barceló +18

In April 2016, a community of researchers working in the area of Principles of Data Management (PDM) joined in a workshop at the Dagstuhl Castle in Germany. The workshop was organi…

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.DB2006★ 1 cited

On Typechecking Top-Down XML Tranformations: Fixed Input or Output Schemas

Wim Martens, Frank Neven, Marc Gyssens

Typechecking consists of statically verifying whether the output of an XML transformation always conforms to an output type for documents satisfying a given input type. In this gen…