BEAR: Benchmarking the Efficiency of RDF Archiving

Fernandez Garcia, Javier David and Umbrich, Jürgen and Polleres, Axel ORCID: (2015) BEAR: Benchmarking the Efficiency of RDF Archiving. Working Papers on Information Systems, Information Business and Operations, 02/2015. Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business, Vienna.


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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)

Item Type: Paper
Keywords: Semantic Web / RDF / Informatik / Information Retrievel / Benchmark
Classification Codes: RVK ST 304, ST 252
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Elena Simukovic
Date Deposited: 29 Jul 2015 15:00
Last Modified: 24 Oct 2019 13:30


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