A Centralized System for Managing, Archiving and Serving Scientific Data in Ecohydrological Research

DOI

10.2991/icicci-15.2015.12How to use a DOI?

Keywords

Keywords—Web services; ontologies; Service-oriented architectures; ecohydrology

Abstract

Abstract—Transboundary and cross-catchment access to ecohydrological data is the key to designing successful environmental policies and activities. Access to and visual representation of scientific information for the public is essential for attracting greater awareness of ecosystem matters. This requires a centralized system to bring together diverse data so that they can be integrated and analyzed in a single environment. This paper presents the efforts of combining web services and ontologies to address these challenges. In this study, a centralized system for managing, archiving and serving scientific data in ecohydrological research was designed and developed. The system enables to mash-up both observations and modeling results together. The applicability of the system is demonstrated through a case study in the Heihe River Basin located in northwestern China.

Copyright

© 2015, 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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TY  - CONF
AU  - Mutao Huang
AU  - Yong Tian
PY  - 2015/09
DA  - 2015/09
TI  - A Centralized System for Managing, Archiving and Serving Scientific Data in Ecohydrological Research
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 51
EP  - 54
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.12
DO  - 10.2991/icicci-15.2015.12
ID  - Huang2015/09
ER  -