Strabon: A Semantic Geospatial DBMS

  • Kostis Kyzirakos
  • Manos Karpathiotakis
  • Manolis Koubarakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7649)


We present Strabon, a new RDF store that supports the state of the art semantic geospatial query languages stSPARQL and GeoSPARQL. To illustrate the expressive power offered by these query languages and their implementation in Strabon, we concentrate on the new version of the data model stRDF and the query language stSPARQL that we have developed ourselves. Like GeoSPARQL, these new versions use OGC standards to represent geometries where the original versions used linear constraints. We study the performance of Strabon experimentally and show that it scales to very large data volumes and performs, most of the times, better than all other geospatial RDF stores it has been compared with.


Burnt Area Geospatial Data SPARQL Query Query Plan Triple Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kostis Kyzirakos
    • 1
  • Manos Karpathiotakis
    • 1
  • Manolis Koubarakis
    • 1
  1. 1.National and Kapodistrian University of AthensGreece

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