Spatiotemporal-Thematic Data Processing in Semantic Web

TitleSpatiotemporal-Thematic Data Processing in Semantic Web
Publication TypeBook Chapter
Year of Publication2007
AuthorsMatthew Perry, Amit Sheth, Farshad Hakimpour, Boanerges Aleman-Meza
KeywordsEvent, GIS, rdf, Semantics, Spatiotemporal, spatiotemporal thematic (STT) functions and proximity
Abstract

This chapter presents practical approaches to data processing in space, time and theme dimensions using current Semantic Web technologies. It describes how we obtain geographic and even data from Internet sources and also how we integrate then 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.

Full Text

Farshad Hakimpour, Boanerges Aleman-Meza, Matthew Perry, and Amit P. Sheth, 'Spatiotemporal-Thematic Data Processing in Semantic Web,' in The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society, Arno Scharl and Klaus Tochtermann (Eds.), Advanced Information and Knowledge Processing Series London: Springer, May 2007, Ch. 8.
project: STT and SemDis
pages: 79-89
publisher: London: Springer
year: 2007
hasEditor: Klaus Tochtermann (Eds.)
related resource url: http://www.geospatialweb.com/ and http://www.springerlink.com/content/rm2627l015244g61/
hasURL: http://knoesis.wright.edu/library/download/SpatiotemporalSemanticWeb_dra...
hasBookTitle: The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society