Boanerges Aleman-Meza
Research Assistant: LSDIS Lab
PhD Student: Computer Science, University of Georgia
Boanerges Aleman-Meza
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Spatiotemporal-Thematic Data processing in Semantic Web

Authors: Farshad Hakimpour, Boanerges Aleman-Meza, Matthew Perry, Amit P. Sheth

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 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 exist-ing technology for main-memory based RDF data processing devel-oped at the LSDIS Lab. A number of these functionalities are exposed as REST Web services. We present two sample client side applica-tions that are developed using a combination of our services with Google maps service

Publication venue: The Geospatial Web (Edited Springer Book)

Citation: (To appear) In The Geospatial Web, Springer-Verlag, May, 2007

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Keywords: Semantics, RDF, Spatiotemporal, spatiotemporal thematic (STT) functions and proximity, GIS, Event

Notes: Chapter 8 - Spatiotemporal-Thematic Data Processing for the Semantic Web

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Last modified: November 23, 2006; Boanerges Aleman-Meza
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