Fast and Simple Data Scaling for OBDA Benchmarks
Proc.\ of the Workshop on Benchmarking Linked Data
(BLINK~2016), (2016)Abstract
In this paper we describe VIG, a data scaler for OBDA
benchmarks. Data scaling is a relatively recent approach,
proposed in the database community, that allows for quickly
scaling an input data instance to n times its size, while
preserving certain application-specific characteristics. The
advantages of the scaling approach are that the same
generator is general, in the sense that it can be re-used on
different database schemas, and that users are not required
to manually input the data characteristics. In the VIG
system, we lift the scaling approach from the pure database
level to the OBDA level, where the domain information of
ontologies and mappings has to be taken into account as
well. VIG is efficient and notably each tuple is generated in
constant time. VIG has been successfully used in the NPD
benchmark, but it provides a general approach that can be
re-used to scale any data instance in any OBDA setting
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