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Semantic Integration of Geospatial Data from Earth Observations

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Knowledge Engineering and Knowledge Management (EKAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

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Abstract

We propose an approach to semantically enrich metadata records of satellite imagery with external data. As a result we are able the identify relevant images using a larger set of matching criteria. Conventional methods for annotating data sets are usually based on metadata records (with attributes such as title, provider, access mode, and spatio-temporal characteristics), which offer a narrow view of the world. Enriching metadata with contextual information (e.g., the region depicted in the image has been recently affected by extreme weather) requires formalizing spatio-temporal relationships between metadata records and external data sources. Semantic technologies play a key role in such scenarios by providing an infrastructure based on RDF and ontologies.

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Notes

  1. 1.

    SparkInData project is funded by “Investing for the Future” French program.

  2. 2.

    https://sentinel.esa.int/web/sentinel/missions/ (07/2016).

  3. 3.

    https://donneespubliques.meteofrance.fr/ (07/2016).

  4. 4.

    A video showing the implementation of our approach is available at: http://geo-space.info/demos/metadataBrowserDataMeteoFrance.mp4.

  5. 5.

    http://stardog.com/.

References

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  2. Gasperi, J.: Semantic search within earth observation products database based on automatic tagging of image content. In: Proceedings of the Conference on Big Data from Space, pp. 4–6 (2014)

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  3. Janowicz, K., Scheider, S., Pehle, T., Hart, G.: Geospatial semantics and linked spatiotemporal data -past, present, and future. Seman. Web 3(4), 321–332 (2012)

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  4. Kolas, D., Perry, M., Herring, J.: Getting started with GeoSPARQL. Technical report, OGC (2013)

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Author information

Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Helbert Arenas, Nathalie Aussenac-Gilles, Catherine Comparot & Cassia Trojahn

Authors
  1. Helbert Arenas
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  2. Nathalie Aussenac-Gilles
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  3. Catherine Comparot
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  4. Cassia Trojahn
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Corresponding author

Correspondence to Helbert Arenas .

Editor information

Editors and Affiliations

  1. University of Bologna , Bologna, Italy

    Paolo Ciancarini

  2. University of Bologna , Bologna, Italy

    Francesco Poggi

  3. Stanford University , Palo Alto, California, USA

    Matthew Horridge

  4. Lancaster University , Lancaster, United Kingdom

    Jun Zhao

  5. Garvan Institute of Medical Research , Darlinghurst, New South Wales, Australia

    Tudor Groza

  6. Universidad Politecnica de Madrid , Boadilla del Monte, Spain

    Mari Carmen Suarez-Figueroa

  7. The Open University , Milton Keynes, United Kingdom

    Mathieu d'Aquin

  8. STLab ISTC-CNR , Rome, Italy

    Valentina Presutti

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Arenas, H., Aussenac-Gilles, N., Comparot, C., Trojahn, C. (2017). Semantic Integration of Geospatial Data from Earth Observations. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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