Semantic Referencing of Geosensor Data and Volunteered Geographic Information

  • Simon ScheiderEmail author
  • Carsten Keßler
  • Jens Ortmann
  • Anusuriya Devaraju
  • Johannes Trame
  • Tomi Kauppinen
  • Werner Kuhn
Part of the Semantic Web and Beyond book series (ADSW, volume 12)


Georeferencing and semantic annotations improve the findability of geoinformation because they exploit relationships to existing data and hence facilitate queries. Unlike georeferencing, which grounds location information in reference points on the earth’s surface, semantic annotations often lack relations to entities of shared experience. We suggest an approach to semantically reference geoinformation based on underlying observations, relating data to observable entities and actions. After discussing an ontology for an observer’s domain of experience, we demonstrate our approach through two use cases. First, we show how to distinguish geosensors based on observed properties and abstracting from technical implementations. Second, we show how to complement annotations of volunteered geographic information with observed affordances.


Technical Sensor Volunteer Geographic Information Identity Criterion Water Unit Rain Drop 
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.



This research has been funded by the Semantic Reference Systems II project (DFG KU 1368/4-2), the SimCat project (DFG Ra1062/2-1 and Ja1709/2-2, see, and the International Research Training Group on Semantic Integration of Geospatial Information (DFG GRK 1498, see


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Simon Scheider
    • 1
    Email author
  • Carsten Keßler
  • Jens Ortmann
  • Anusuriya Devaraju
  • Johannes Trame
  • Tomi Kauppinen
  • Werner Kuhn
  1. 1.Institute for GeoinformaticsUniversity of MünsterMünsterGermany

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