Smarter water management: a challenge for spatio-temporal network databases

Authors:
KwangSoo Yang;Shashi Shekhar;Jing Dai;Sambit Sahu;Milind Naphade
Affiliations:
Department of Computer Science, University of Minnesota, MN;Department of Computer Science, University of Minnesota, MN;IBM T.J. Watson Research Hawthorne, NY;IBM T.J. Watson Research Hawthorne, NY;IBM T.J. Watson Research Hawthorne, NY
Venue:
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Year:
2011

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Abstract

Developing intelligent water resource management systems is necessary for a sustainable future. Many aspects of these systems are highly related to spatio-temporal (ST) databases, particularly spatiotemporal network databases (STNDB). However, this domain poses several challenges. In this paper we present our view of the important research issues, including the challenges of modeling of spatio-temporal networks (STN) and data access methods.