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20082018
most citedS2RDF: RDF Querying with SPARQL on Spark

41 citations · 87 across the 6 of their papers we have counts for

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Showing cs.DBShow all

7 papers · 1 filter

cs.DB2018★ 27 cited

PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies

Matteo Cossu, Michael Färber, Georg Lausen

The rapidly growing size of RDF graphs in recent years necessitates distributed storage and parallel processing strategies. To obtain efficient query processing using computer clus…

cs.DB2016★ 41 cited

S2RDF: RDF Querying with SPARQL on Spark

Alexander Schätzle, Martin Przyjaciel-Zablocki, Simon Skilevic +1

RDF has become very popular for semantic data publishing due to its flexible and universal graph-like data model. Yet, the ever-increasing size of RDF data collections makes it mor…

cs.DB2013★ 3 cited

Pleasantly Consuming Linked Data with RDF Data Descriptions

Michael Schmidt, Georg Lausen

Although the intention of RDF is to provide an open, minimally constraining way for representing information, there exists an increasing number of applications for which guarantees…

cs.DB2012★ 16 cited

Cascading map-side joins over HBase for scalable join processing

Martin Przyjaciel-Zablocki, Alexander Schätzle, Thomas Hornung +2

One of the major challenges in large-scale data processing with MapReduce is the smart computation of joins. Since Semantic Web datasets published in RDF have increased rapidly ove…

cs.DB2009

On Chase Termination Beyond Stratification

Michael Meier, Michael Schmidt, Georg Lausen

We study the termination problem of the chase algorithm, a central tool in various database problems such as the constraint implication problem, Conjunctive Query optimization, rew…

cs.DB2009

Stop the Chase

Michael Meier, Michael Schmidt, Georg Lausen

The chase procedure, an algorithm proposed 25+ years ago to fix constraint violations in database instances, has been successfully applied in a variety of contexts, such as query o…