Spatiotemporal-Thematic Data Processing for the Semantic Web

Authors

Farshad Hakimpour
Boanerges Aleman-Meza
Matthew Perry, Wright State University - Main Campus
Amit P. Sheth, Wright State University - Main CampusFollow

Document Type

Book Chapter

Publication Date

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.

Repository Citation

Hakimpour, F., Aleman-Meza, B., Perry, M., & Sheth, A. P. (2007). 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, 79-89.
https://corescholar.libraries.wright.edu/knoesis/654

DOI

10.1007/978-1-84628-827-2_8