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HIS-KCWater: context-aware geospatial data and service integration
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
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
Authors
Jejung Lee  University of Missouri - Kansas City, Kansas City, MO
Yugyung Lee  University of Missouri - Kansas City
Sanket Shah  University of Missouri - Kansas City
James Geller  New Jersey Institute of Technology, Newark, NJ
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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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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T. Berners-Lee, J. Hendler, O. Lassila. (2001) The Semantic Web. Scientific American, 284(5):34--43.
 
4
P. J. Brown, J. D. Bovey, and X. Chen. (1997) Context-aware applications: From the laboratory to the marketplace. IEEE Personal Communications, 4(5):58--64.
 
5
S. Chun, Y. Lee, and J. Geller. (2004) Ontological and pragmatic knowledge management for web service composition. In 9th International Conference on Database Systems for Advanced Applications.
 
6
K. Dey, G. D. Abowd. (1999) Towards a better understanding of context and context awareness.
 
7
M. Donnelly and T. Bittner. (2005). Spatial relations between classes of individuals. In D. Mark and T. Cohn (eds.): Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. International Conference (COSIT 2005), 182--199.
 
8
9
 
10
11
 
12
J. M. Pierre (2001) "On the Automated Classification of Web Sites", Linkoping Electronic Articles in Computer and Information Science, Vol. 6.
 
13
B. Smith and D. Mark (1998) "Ontology and Geographic Kinds," presented at International Symposium on Spatial Data Handling, Vancouver, BC, Canada.
 
14
H. Stuckenschmidt: Toward Multi-viewpoint Reasoning with OWL Ontologies (2006) ESWC Conference, pp. 259--272.
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Collaborative Colleagues:
Jejung Lee: colleagues
Yugyung Lee: colleagues
Sanket Shah: colleagues
James Geller: colleagues