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New Data Types and Operations to Support Geo-streams

  • Yan Huang
  • Chengyang Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5266)

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.

Keywords

Data Type Continuous Query Abstract Semantic Spatial Predicate Move Object Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yan Huang
    • 1
  • Chengyang Zhang
    • 1
  1. 1.University of North Texas 

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