Automatic composition of aggregation workflows for transportation modeling

نویسندگان

  • José Luis Ambite
  • Matthew Weathers
چکیده

Many scientific problems can be modeled as computational workflows that integrate data from heterogeneous sources and process such data to derive new results. These data analysis problems are pervasive in the physical and social sciences, as well as in government practice. In this paper, we present an approach to automatically create computational workflows in response to user data requests. We represent both data access and data processing operations uniformly as web services. We describe the inputs and outputs of the services according to an ontology of the application domain expressed in RDF/RDFS. Our system uses the Triple logic engine to formally represent the ontology and the services, and to automatically generate the workflows. This work is part of the Argos project that is developing a flexible data query and analysis system based on the web services paradigm. Our application domain is goods movement analysis and its effects on spatial urban structure. Since our ontology represents data items as multi-dimensional objects, with hierarchical values for each dimension, in this paper we focus on automatically generating workflows that include aggregation operations.

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تاریخ انتشار 2005