=Paper=
{{Paper
|id=None
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-981/BeRSys2013keynote.pdf
|volume=Vol-981
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-981/BeRSys2013keynote.pdf</pdf>
<pre>
Title

Benchmarking Geospatial RDF Stores

Manolis Koubarakis (National and Kapodistrian University of Athens)



Abstract

The Web of data has recently started being populated with geospatial data. A
representative example of this trend is the work of Ordnance Survey which
makes various official geospatial datasets from the United Kingdom available
as linked data. The availability of linked geospatial data has motivated
research on geospatial extensions of SPARQL (e.g., stSPARQL and
GeoSPARQL) and geospatial RDF stores (e.g., Strabon, Parliament etc.). In
this talk we present a functional and performance benchmark which is used
to compare the functionality and performance of most of the geospatial RDF
stores that are available today. Although there have been various well-known
benchmarks for SPARQL query processing, there is currently only a single
proposal for benchmarking geospatial RDF stores. We hope that our ideas
will motivate others to work on this interesting problem as well.

The work presented is being carried out in the context of European FP7
project TELEIOS which addresses the need for scalable access to petabytes of
Earth Observation data and the effective discovery of knowledge hidden in
them. TELEIOS has made significant progress in the development of state-of-
the-art techniques in Scientific Databases, Linked Geospatial Data and Image
Mining and has applied them to the management of Earth Observation data.

This is joint work with my students George Garbis and Kostis Kyzirakos.

</pre>