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

Kwang Soo Yang, Shashi Shekhar, Jing Dai, Sambit Sahu, Milind Naphade

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 spatio-temporal 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.

Original languageEnglish (US)
Title of host publicationAdvances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings
Pages471-474
Number of pages4
DOIs
StatePublished - Sep 19 2011
Event12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011 - Minneapolis, MN, United States
Duration: Aug 24 2011Aug 26 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6849 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011
Country/TerritoryUnited States
CityMinneapolis, MN
Period8/24/118/26/11

Keywords

  • Lagrangian Reference Framework
  • Network Tomography
  • Spatio Temporal Network Database System
  • Water Management System

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