TY  - GEN
TI  - BEAR: Benchmarking the Efficiency of RDF Archiving
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.
PP  - Vienna
UR  - http://epub.wu.ac.at/4615/
PY  - 2015-01-01
AU  - Fernandez Garcia, Javier David 
AU  - Umbrich, Jürgen 
AU  - Polleres, Axel 
ER -