Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Research on Intelligent Water Network System Based on Multi - modal Data Fusion

Authors
Ru-Ying Lv, Jing Wang
Corresponding Author
Ru-Ying Lv
Available Online November 2016.
DOI
10.2991/ceis-16.2016.20How to use a DOI?
Keywords
intelligent water network; large data; ontology; Multimodal data fusion
Abstract

The rapid development of the 21st century, so that the number of types and number of various types of exponential growth is not only the amount of data, large data era has come quietly. Intelligent water network system is also indispensable to large data. In the context of large data, large data analysis for the intelligent water network provides technical support. The connotation of intelligent water network is introduced briefly and this paper analyzes the use of ontology to carry on the new structure to the intelligent water network system, Finally, the future research center and the problem are described.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
10.2991/ceis-16.2016.20
ISSN
2352-538X
DOI
10.2991/ceis-16.2016.20How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ru-Ying Lv
AU  - Jing Wang
PY  - 2016/11
DA  - 2016/11
TI  - Research on Intelligent Water Network System Based on Multi - modal Data Fusion
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 102
EP  - 105
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.20
DO  - 10.2991/ceis-16.2016.20
ID  - Lv2016/11
ER  -