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Issue No.01 - January/February (2011 vol.26)
pp: 62-72
Ewa Deelman , Univ. of Southern California, Los Angeles, CA, USA
Joshua Moody , Univ. of Southern California, Los Angeles, CA, USA
Jihie Kim , Univ. of Southern California, Los Angeles, CA, USA
Varun Ratnakar , Univ. of Southern California, Los Angeles, CA, USA
Yolanda Gil , Univ. of Southern California, Los Angeles, CA, USA
Pedro Antonio Gonzalez-Calero , Univ. Complutense de Madrid, Madrid, Spain
Paul Groth , Vrije Univ. Amsterdam, Amsterdam, Netherlands
ABSTRACT
Describes the Wings intelligent workflow system that assists scientists with designing computational experiments by automatically tracking constraints and ruling out invalid designs, letting scientists focus on their experiments and goals.
INDEX TERMS
workflow management software, data analysis, natural sciences computing, planning (artificial intelligence), software architecture, data set requirement, workflow system, workflow creation, workflow execution, workflow instance generation and specialization, University of Southern California, Information Sciences Institute, workflow validation, Al planning, Computational intelligence, Tracking, Workflow management software, Design methodology, computer-supported discovery, intelligent systems, workflow management, computational experiments, experiment design, software components
CITATION
Ewa Deelman, Joshua Moody, Jihie Kim, Varun Ratnakar, Yolanda Gil, Pedro Antonio Gonzalez-Calero, Paul Groth, "Wings: Intelligent Workflow-Based Design of Computational Experiments", IEEE Intelligent Systems, vol.26, no. 1, pp. 62-72, January/February 2011, doi:10.1109/MIS.2010.9
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