SGST: an open source semantic geostreaming toolkit

Authors:
Jong Lee;Yong Liu;Liang Yu
Affiliations:
National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, Urbana, IL;National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, Urbana, IL;National Center for Supercomputing Applications (NCSA), University of Illinois at Urbana-Champaign, Urbana, IL
Venue:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoStreaming
Year:
2011

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Abstract

Geo-referenced data streams (geostreams) have created major challenges on streaming data management, query, and integration. Semantically managing geostream data has the potential to provide better data integration and reasoning. We develop an open source Semantic GeoStreaming Toolkit (SGST) that aims to provide an integrated sensor data management solution. In particular, this paper uses the Open Geospatial Consortium (OGC) GeoSPARQL recommendation and a time-annotated RDF streaming data management service. The toolkit offers geostreaming data management, fetching, and RESTful web services. We demonstrate SGST with two real-world use cases including USGS earthquake GeoRSS feeds and geo-referenced Twitter feeds for citizen sensing. Issues related to interoperability, performance, and full support of GeoSPARQL are discussed.