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

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

doi:10.1007/978-3-642-22922-0_33

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 proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings
Pages	471-474
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-22922-0_33
State	Published - 2011
Event	12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011 - Minneapolis, MN, United States Duration: Aug 24 2011 → Aug 26 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6849 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011
Country/Territory	United States
City	Minneapolis, MN
Period	8/24/11 → 8/26/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Keywords

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

Publisher link

10.1007/978-3-642-22922-0_33

Find It

Find It at U of M Libraries

Cite this

Yang, K. S., Shekhar, S., Dai, J., Sahu, S., & Naphade, M. (2011). Smarter water management: A challenge for spatio-temporal network databases. In Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings (pp. 471-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6849 LNCS). https://doi.org/10.1007/978-3-642-22922-0_33

Smarter water management: A challenge for spatio-temporal network databases. / Yang, Kwang Soo; Shekhar, Shashi; Dai, Jing et al.
Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. 2011. p. 471-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6849 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, KS, Shekhar, S, Dai, J, Sahu, S & Naphade, M 2011, Smarter water management: A challenge for spatio-temporal network databases. in Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6849 LNCS, pp. 471-474, 12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011, Minneapolis, MN, United States, 8/24/11. https://doi.org/10.1007/978-3-642-22922-0_33

Yang KS, Shekhar S, Dai J, Sahu S, Naphade M. Smarter water management: A challenge for spatio-temporal network databases. In Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. 2011. p. 471-474. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-22922-0_33

Yang, Kwang Soo ; Shekhar, Shashi ; Dai, Jing et al. / Smarter water management : A challenge for spatio-temporal network databases. Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings. 2011. pp. 471-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{65d2927759c04d73b8e7f1ee37f22d0a,

title = "Smarter water management: A challenge for spatio-temporal network databases",

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.",

keywords = "Lagrangian Reference Framework, Network Tomography, Spatio Temporal Network Database System, Water Management System",

author = "Yang, \{Kwang Soo\} and Shashi Shekhar and Jing Dai and Sambit Sahu and Milind Naphade",

year = "2011",

doi = "10.1007/978-3-642-22922-0\_33",

language = "English (US)",

isbn = "9783642229213",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "471--474",

booktitle = "Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings",

note = "12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011 ; Conference date: 24-08-2011 Through 26-08-2011",

}

TY - GEN

T1 - Smarter water management

T2 - 12th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2011

AU - Yang, Kwang Soo

AU - Shekhar, Shashi

AU - Dai, Jing

AU - Sahu, Sambit

AU - Naphade, Milind

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Lagrangian Reference Framework

KW - Network Tomography

KW - Spatio Temporal Network Database System

KW - Water Management System

UR - https://www.scopus.com/pages/publications/80052717563

UR - https://www.scopus.com/pages/publications/80052717563#tab=citedBy

U2 - 10.1007/978-3-642-22922-0_33

DO - 10.1007/978-3-642-22922-0_33

M3 - Conference contribution

AN - SCOPUS:80052717563

SN - 9783642229213

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 471

EP - 474

BT - Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings

Y2 - 24 August 2011 through 26 August 2011

ER -

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

Abstract

Publication series

Other

UN SDGs

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this