A RDF Vocabulary for Spatiotemporal Observation Data Sources

نویسندگان

  • Karine Reis Ferreira
  • Diego B. F. C. Almeida
  • Antônio Miguel Vieira Monteiro
چکیده

Observations are our means to assess spatiotemporal phenomena in the real world. They are basic units for spatiotemporal data representation and are distributed by data providers using different formats and standards. In this work, we propose an approach to discover, access and integrate spatiotemporal observations from different kinds of data sources using RDF framework and SPARQL language. This paper presents an ongoing work on defining a RDF vocabulary for describing spatiotemporal observation data sources.

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تاریخ انتشار 2014