New Data Types and Operations to Support Geo-streams View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2008

AUTHORS

Yan Huang , Chengyang Zhang

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. More... »

PAGES

106-118

References to SciGraph publications

Book

TITLE

Geographic Information Science

ISBN

978-3-540-87472-0
978-3-540-87473-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-87473-7_7

DOI

http://dx.doi.org/10.1007/978-3-540-87473-7_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013574623


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