A description classifier for the predicate calculus
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
WhyNot: debugging failed queries in large knowledge bases
Eighteenth national conference on Artificial intelligence
Automatic composition of aggregation workflows for transportation modeling
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Integrating heterogeneous data sources for better freight flow analysis and planning
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
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This Project Highlight describes Year 3 activities of our Argos research. The purpose of the research is to develop a flexible data query and analysis system based on the web services paradigm. Our application domain is metropolitan goods movement. The project began in August 2003. We seek to blend computer science and social science approaches by developing new data integration tools and applying them to social science research problems. The research has three objectives: 1) to advance computer science research by developing an expressive web services description language and techniques for dynamically composing web services, 2) to develop and conduct test applications of an intra-metropolitan goods movement flow model using web services in cooperation with government partners, and 3) to use the model to conduct social science research on intra-metropolitan economic linkages and spatial structure. The approach to web service composition is general and can be applied to other scientific data gathering and analysis tasks.