Jejung Lee
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.
- C. Aggarwal, F. Al-Garawi and P. Yu. (2001) Intelligent Crawling on the World Wide Web with Arbitrary Predicates", In Proceedings of the 10th International World Wide Web. Google Scholar
Digital Library
- G. Adomavicius, R. Sankaranarayanan, S. Sen, A. Tuzhilin, (2005) Incorporating contextual Information in recommender systems using a multidimensional approach, ACM Transactions on Information Systems, 23(1), 103--145. Google ScholarDigital Library
- T. Berners-Lee, J. Hendler, O. Lassila. (2001) The Semantic Web. Scientific American, 284(5):34--43.Google ScholarCross Ref
- 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.Google ScholarCross Ref
- 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.Google ScholarCross Ref
- K. Dey, G. D. Abowd. (1999) Towards a better understanding of context and context awareness.Google Scholar
- 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. Google ScholarDigital Library
- D. Gruhl, L. Chavet, D. Gibson, J. Meyer, P. Pattanayak, A. Tomkins, J. Zien, J. (2004). How to build a WebFountain: An architecture for very large-scale text analytics. IBM Systems Journal - Utility Computing, 43(1). Google ScholarDigital Library
- S. Handschuh, S. Staab, A. Maedche, A. (2001) CREAM-creating relational metadata with a component-based. In Proceedings of the First International Conference on Knowledge Capture. Google ScholarDigital Library
- C. Jenkins, M. Jackson, P. Burden, J. Wallis (1999). Automatic RDF metadata generation for resource discovery. Proc. of the eighth international conference on World Wide Web. Toronto, Canada, pp. 1305--1320. Google ScholarDigital Library
- C. B. Jones, R. Purves, A. Ruas, M. Sanderson, M. Sester, M. van Kreveld, R. Weibel (2002) Spatial information retrieval and geographical ontologies. An overview of the SPIRIT project. SIGIR'02. Google ScholarDigital Library
- J. M. Pierre (2001) "On the Automated Classification of Web Sites", Linkoping Electronic Articles in Computer and Information Science, Vol. 6.Google Scholar
- B. Smith and D. Mark (1998) "Ontology and Geographic Kinds," presented at International Symposium on Spatial Data Handling, Vancouver, BC, Canada.Google Scholar
- H. Stuckenschmidt: Toward Multi-viewpoint Reasoning with OWL Ontologies (2006) ESWC Conference, pp. 259--272. Google ScholarDigital Library
- T. Tezuka, T. Kurashima, K. Tanaka (2006) Toward tighter integration of web search with a geographic information system. In Proceedings of the 15th International Conference on World Wide Web, 277--286. Google ScholarDigital Library
Index Terms
- HIS-KCWater: context-aware geospatial data and service integration
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