Semantic integration of government data for water quality management |
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| Authors: | Zhiyuan Chen Arrya Gangopadhyay Stephen H Holden George Karabatis Michael P McGuire |
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| Institution: | aITE 431, Information Systems, University of Maryland, Baltimore County (UMBC), 1000 Hilltop Circle, Baltimore, MD 21250, USA;bSRA Touchstone Consulting Group, 1920 N Street, NW, Suite 600, Washington D.C., 20038, USA;cCenter for Urban Environmental Research and Education, University of Maryland, Baltimore County (UMBC), 1000 Hilltop Circle, TRC 102, Baltimore, MD 21250, USA |
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| Abstract: | Normative models of e-government typically assert that horizontal (i.e., inter-agency) and vertical (i.e., inter-governmental) integration of data flows and business processes represent the most sophisticated form of e-government, delivering the greatest payoff for both governments and users. This paper concentrates on the integration of data supporting water quality management as an example of how such integration can enable higher levels of e-government. It describes a prototype system that allows users to integrate water monitoring data across many federal, state, and local government organizations and provides novel techniques for information discovery, thus improving information quality and availability for decision making. Specifically, this paper outlines techniques to integrate numerous water quality monitoring data sources, to resolve data disparities, and to retrieve data using semantic relationships among data sources taking advantage of customized user profiles. Preliminary user feedback indicates that these techniques enhance quantity and quality of information available for water quality management. |
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