| HIS-KCWater: context-aware geospatial data and service integration |
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Symposium on Applied Computing
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Proceedings of the 2007 ACM symposium on Applied computing
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Seoul, Korea
SESSION: Advances in spatial and image-based information systems
table of contents
Pages: 24 - 29
Year of Publication: 2007
ISBN:1-59593-480-4
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Authors
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Jejung Lee
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University of Missouri - Kansas City, Kansas City, MO
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Yugyung Lee
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University of Missouri - Kansas City
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Sanket Shah
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University of Missouri - Kansas City
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James Geller
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New Jersey Institute of Technology, Newark, NJ
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ABSTRACT
The nature of today's geographically and managerially distributed geospatial information sources makes the interoperability across different sources from different organizations difficult. The integration of real-time water quality assurance data with geographic data is even more challenging. In this paper, we present a context-aware geospatial data and service integration framework that is based on the combination of a syntactic model, a semantic model and a pragmatic model using Semantic Web technologies. This model is context-aware, with the ability to analyze existing dependencies, predict causes and effects and provide context-aware services (which information services are relevant, how to perform the services, how often they are needed, etc). As a proof of concept, we demonstrate the HIS-KCWater system for supporting users in analyzing real time watershed data, predicting the water quality using hydrologic model simulators, interpreting the results, dynamically forecasting problems and generating alerts about water quality issues.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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