Quotation Fernandez Garcia, Javier David, Umbrich, Jürgen, Polleres, Axel. 2015. BEAR: Benchmarking the Efficiency of RDF Archiving. Vienna:WU Vienna University of Economics and Business.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Research report, expert opinion
Language English
Title BEAR: Benchmarking the Efficiency of RDF Archiving
Location Vienna
Academic institution WU Vienna University of Economics and Business
Year 2015
URL http://epub.wu.ac.at/4615/


Querying Archives of Dynamic Linked Open Data
Fernandez Garcia, Javier David (Former researcher)
Umbrich, Jürgen (Former researcher)
Polleres, Axel (Details)
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
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