TY - UNPB
T1 - BEAR: Benchmarking the Efficiency of RDF Archiving
AU - Fernandez Garcia, Javier David
AU - Umbrich, Jürgen
AU - Polleres, Axel
PY - 2015
Y1 - 2015
N2 - There is an emerging demand on techniques addressing the
problem of efficiently archiving and (temporal) querying different versions of evolving semantic Web data. While systems archiving and/or temporal querying are still in their early days, we consider this a good time to discuss benchmarks for evaluating storage space efficiency for
archives, retrieval functionality they serve, and the performance of various retrieval operations. To this end, we provide a blueprint on benchmarking archives of semantic data by defining a concise set of operators that cover the major aspects of querying of and interacting with such
archives. Next, we introduce BEAR, which instantiates this blueprint to serve a concrete set of queries on the basis of real-world evolving data. Finally, we perform an empirical evaluation of current archiving techniques that is meant to serve as a first baseline of future developments
on querying archives of evolving RDF data. (authors' abstract)
AB - There is an emerging demand on techniques addressing the
problem of efficiently archiving and (temporal) querying different versions of evolving semantic Web data. While systems archiving and/or temporal querying are still in their early days, we consider this a good time to discuss benchmarks for evaluating storage space efficiency for
archives, retrieval functionality they serve, and the performance of various retrieval operations. To this end, we provide a blueprint on benchmarking archives of semantic data by defining a concise set of operators that cover the major aspects of querying of and interacting with such
archives. Next, we introduce BEAR, which instantiates this blueprint to serve a concrete set of queries on the basis of real-world evolving data. Finally, we perform an empirical evaluation of current archiving techniques that is meant to serve as a first baseline of future developments
on querying archives of evolving RDF data. (authors' abstract)
U2 - 10.57938/13169635-fc3b-40d2-9dc7-3ad104315372
DO - 10.57938/13169635-fc3b-40d2-9dc7-3ad104315372
M3 - WU Working Paper
T3 - Working Papers on Information Systems, Information Business and Operations
BT - BEAR: Benchmarking the Efficiency of RDF Archiving
PB - Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business
CY - Vienna
ER -