BEAR: Benchmarking the Efficiency of RDF Archiving

Javier David Fernandez Garcia, Jürgen Umbrich, Axel Polleres

Publikation: Working/Discussion PaperWU Working Paper

74 Downloads (Pure)

Abstract

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)

Publikationsreihe

ReiheWorking Papers on Information Systems, Information Business and Operations
Nummer02/2015
ISSN2518-6809

WU Working Paper Reihe

  • Working Papers on Information Systems, Information Business and Operations

Zitat