Abstract
The techniques of utilizing spatial data on the Semantic Web have attracted more and more interest from researchers due to the rapidly increasing applications based on geographic information. However, there are currently limited solutions providing efficient spatial query evaluation based on Semantic Web data. In this demonstration, we present Geo-Store, a novel spatially-augmented SPARQL evaluation system. By extending the standard SPARQL query language with spatial query filters, Geo-Store is able to process complex spatial queries with common spatial constraints. These spatial filters are designed based on our Spatially Aware Mapping (SAM) scheme. With SAM, spatial data are pre-processed and encoded with their Hilbert values by employing the Hilbert curve, resulting in more efficient spatial query processing than the existing approaches. The Geo-Store demonstration includes both a server and a web browser-based client.