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The Spatiotemporal RDF Store Strabon

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Advances in Spatial and Temporal Databases (SSTD 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8098))

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Abstract

Strabon is a very scalable and efficient RDF store for storing and querying geospatial data that changes over time. We present the geospatial and temporal features of Strabon and we demonstrate their utilization in the fire monitoring and the burn scar mapping applications of the National Observatory of Athens.

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References

  1. Open Geospatial Consortium. OGC GeoSPARQL - A geographic query language for RDF data. OGC Candidate Implementation Standard (2012)

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Author information

Authors and Affiliations

  1. National and Kapodistrian University of Athens, Greece

    Kostis Kyzirakos, Manos Karpathiotakis, Konstantina Bereta, George Garbis, Charalampos Nikolaou, Panayiotis Smeros, Stella Giannakopoulou, Kallirroi Dogani & Manolis Koubarakis

Authors
  1. Kostis Kyzirakos
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  2. Manos Karpathiotakis
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  3. Konstantina Bereta
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  4. George Garbis
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  5. Charalampos Nikolaou
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  6. Panayiotis Smeros
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  7. Stella Giannakopoulou
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  8. Kallirroi Dogani
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  9. Manolis Koubarakis
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Editor information

Editors and Affiliations

  1. University of Alberta, Edmonton, AB, Canada

    Mario A. Nascimento

  2. RMIT University, Melbourne, VIC, Australia

    Timos Sellis

  3. Department of Computer Science, The University of Hong Kong, Hong Kong

    Reynold Cheng

  4. Dept. of Computing Science, University of Alberta, T6G 2E8, Edmonton, Canada,

    Jörg Sander

  5. Microsoft Research Asis, Beijing, China

    Yu Zheng

  6. Institute for Informatics, Ludwig Maximilian University, Munich, Germany

    Hans-Peter Kriegel

  7. Institute for Informatics, Ludwig-Maximilians-Universität München, Oettingenstr, 67, D-80538, München, Germany

    Matthias Renz

  8. Ruprecht-Karls-University, Heidelberg, Germany

    Christian Sengstock

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© 2013 Springer-Verlag Berlin Heidelberg

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Kyzirakos, K. et al. (2013). The Spatiotemporal RDF Store Strabon. In: Nascimento, M.A., et al. Advances in Spatial and Temporal Databases. SSTD 2013. Lecture Notes in Computer Science, vol 8098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40235-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-40235-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40234-0

  • Online ISBN: 978-3-642-40235-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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