Argos: dynamic composition of web services for goods movement analysis and planning

ABSTRACT

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.

REFERENCES

• 1: Jose Luis Ambite , Genevieve Giuliano , Peter Gordon , Qisheng Pan , Sandipan Bhattacharjee, Integrating heterogeneous data sources for better freight flow analysis and planning, Proceedings of the 2002 annual national conference on Digital government research, p.1-12, May 19-22, 2002, Los Angeles, California
• 2: José Luis Ambite , Matthew Weathers, Automatic composition of aggregation workflows for transportation modeling, Proceedings of the 2005 national conference on Digital government research, May 15-18, 2005, Atlanta, Georgia
• 3: Hans Chalupsky , Thomas A. Russ, WhyNot: debugging failed queries in large knowledge bases, Eighteenth national conference on Artificial intelligence, p.870-877, July 28-August 01, 2002, Edmonton, Alberta, Canada
• 4: Robert M. MacGregor, A description classifier for the predicate calculus, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.213-220, October 1994, Seattle, Washington, United States
• 5: Q. Pan, Freight data assembly and modeling, Transportation Planning and Technology, 29(1), forthcoming, 2006.
• 6: Michael Sintek , Stefan Decker, TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web, Proceedings of the First International Semantic Web Conference on The Semantic Web, p.364-378, June 09-12, 2002

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.1 Project and People Management

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services

  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.4 System Management

General Terms:
Design, Management