The Study of Standardization that is for Integrate of Water Resources Database

다국어 초록 (Multilingual Abstract)

Recently, the paradigm shift in water management and the development of information technologies has made intelligent water management platform which can be two-way communication. In addition, it carried out various hydrologic information projects and research but It was still difficult for user to get a water information. And the integrated management of water information is not. Smart Water Grid (SWG) is the technology for the efficient operation and management of water resources which was distributed spatial. For this, especially it is important to increase quality and service of information through standardization. Globally the water information system has been applied to a data standards system like that WaterML. WaterML standards for Water Markup Language. It is a standardized dialect of XML designed for transmitting hydrological data. In this study propose a database standardization system for water management in Korea. Also it is to establish interoperability and linkages of National and Regional about water information.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Review of Previous Research and National Portal DBs
• 2.1. Construction of a DB for water data
• 2.2. Investigation of National Portal DBs Related to Water Data
• 3. The Necessity and Differentiation of an SWG Integrated DB
• 3.1. The Concept and Necessity of an SWG Integrated DB
• 3.2. Differentiation of an SWG Integrated DB with Existing DB Construction
• 4. Data Terminology Standardization using a DB-Dictionary
• 4.1. Standardization of Data Terminology
• 4.2. Selection of Indices for Data Terminology Standardization
• 4.3. Data Terminology Compilation Rules
• 5. Standardization using Definitions of Data Properties
• 5.1. Definitions of Data Properties
• 5.2. Guidelines for application of data properties
• 6. Construction and Mutual Linkage of the SWG Integrated DB
• 6.1. SWG Data Linkage Flow Analysis
• 6.2. Construction of an SWG integrated DB
• 7. Conclusions and Future Work
• References