Automatic RDF metadata generation for resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Intelligent crawling on the World Wide Web with arbitrary predicates
Proceedings of the 10th international conference on World Wide Web
CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
Proceedings of the 1st international conference on Knowledge capture
Spatial information retrieval and geographical ontologies an overview of the SPIRIT project
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Toward tighter integration of web search with a geographic information system
Proceedings of the 15th international conference on World Wide Web
Toward multi-viewpoint reasoning with OWL ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Spatial relations between classes of individuals
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
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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.