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

  • Authors:

  • José Luis Ambite;Genevieve Giuliano;Peter Gordon;Qisheng Pan;Naqeeb Abbasi;LanLan Wang;Matthew Weathers

  • Affiliations:

  • University of Southern California;University of Southern California;University of Southern California;Texas Southern University;University of Southern California;University of Southern California;University of Southern California

  • Venue:
  • dg.o '05 Proceedings of the 2005 national conference on Digital government research
  • Year:
  • 2005

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Abstract

This Project Highlight describes Year 2 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, including modeling of goods movement flows and effects of goods movement activities on urban spatial structure. The project began in August 2003. This research seeks 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. Although the focus is on the specific topic of urban goods movement, the approach to web service composition is general and can be applied to other scientific data gathering and analysis tasks.