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Spatiotemporal-Thematic Data Processing for the Semantic Web

  • Farshad Hakimpour
  • Boanerges Aleman-Meza
  • Matthew Perry
  • Amit Sheth
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

This chapter presents practical approaches to data processing in the space, time and theme dimensions using existing Semantic Web technologies. It describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics. These functionalities are implemented based on our existing technology for main-memory-based RDF data processing developed at the LSDIS Lab. A number of these functionalities are exposed as REST Web services. We present two sample client-side applications that are developed using a combination of our services with Google Maps service.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Farshad Hakimpour
    • 1
  • Boanerges Aleman-Meza
    • 1
  • Matthew Perry
    • 1
  • Amit Sheth
    • 1
  1. 1.Computer Science DepartmentUniversity of GeorgiaLSDIS Lab AthensUSA

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