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Contribution to Book
Spatiotemporal-Thematic Data Processing for the Semantic Web
The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society
  • Farshad Hakimpour
  • Boanerges Aleman-Meza
  • Matthew Perry, Wright State University - Main Campus
  • Amit P. Sheth, Wright State University - Main Campus
Document Type
Book Chapter
Publication Date
1-1-2007
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Abstract

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.

DOI
10.1007/978-1-84628-827-2_8
Citation Information
Farshad Hakimpour, Boanerges Aleman-Meza, Matthew Perry and Amit P. Sheth. "Spatiotemporal-Thematic Data Processing for the Semantic Web" The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society (2007) p. 79 - 89 ISSN: 9781846288265
Available at: http://works.bepress.com/amit_sheth/175/