Abstract
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. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Kyzirakos, K., Karpathiotakis, M., & Koubarakis, M. (2012). Strabon: A semantic geospatial DBMS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7649 LNCS, pp. 295–311). Springer Verlag. https://doi.org/10.1007/978-3-642-35176-1_19
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