Argos: an ontology and web service composition infrastructure for goods movement analysis
Year: 2004
Type: conference-paper
Abstract: 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. Therefore, techniques that facilitate the creation of such computational workflows are of critical importance. In our work on the Argos project we are developing techniques to automatically create computational workflows in response to user data requests. As a unifying paradigm, we represent both data access and data processing operations as web services.
Authors: José Luis Ambite, Geneviève Giuliano, Peter Gordon, Stefan Decker, Andreas Harth, Karanbir Jassar, Qisheng Pan, Lan‐Lan Wang
Institution: University of Southern California
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1586369358