New Data Types and Operations to Support Geo-streams

  • Authors:
  • Yan Huang;Chengyang Zhang

  • Affiliations:
  • University of North Texas,;University of North Texas,

  • Venue:
  • GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
  • Year:
  • 2008

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Abstract

The volume of real-time streaming data produced by geo-referenced sensors and sensor networks is staggeringly large and growing rapidly. Queries on these geo-streams often require tracking spatio-temporal extent (e.g. evolving region) continuously in real time. The notion of real-time monitoring and notification requires support from a database capable of tracking and querying dynamic and transient spatio-temporal events as well as static spatial objects and sending out real-time notifications. In this paper, we leverage the work in data type based spatio-temporal databases and propose new data types called STREAM and their abstract semantics to support geo-stream applications. New operations on STREAM data types are defined and illustrated by embedding them into SQL.