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Contribution to Book
SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries
Geospatial Semantics and the Semantic Web
  • Matthew Perry, Wright State University - Main Campus
  • Prateek Jain, Wright State University - Main Campus
  • Amit P. Sheth, Wright State University - Main Campus
Document Type
Book Chapter
Publication Date
1-1-2011
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Abstract

Spatial and temporal data is plentiful on the Web, and Semantic Web technologies have the potential to make this data more accessible and more useful. Semantic Web researchers have consequently made progress towards better handling of spatial and temporal data. SPARQL, the W3C-recommended query language for RDF, does not adequately support complex spatial and temporal queries. In this work, we present the SPARQL-ST query language. SPARQL-ST is an extension of SPARQL for complex spatiotemporal queries. We present a formal syntax and semantics for SPARQL-ST. In addition, we describe a prototype implementation of SPARQL-ST and demonstrate the scalability of this implementation with a performance study using large real-world and synthetic RDF datasets.

DOI
10.1007/978-1-4419-9446-2_3
Citation Information
Matthew Perry, Prateek Jain and Amit P. Sheth. "SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries" Geospatial Semantics and the Semantic Web (2011) p. 61 - 86 ISSN: 9781441994455
Available at: http://works.bepress.com/amit_sheth/255/