This Article 
 Bibliographic References 
 Add to: 
Wings: Intelligent Workflow-Based Design of Computational Experiments
January/February 2011 (vol. 26 no. 1)
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
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.

1. D. De Roure, Y. Gil, and J. Hendler, "Guest Editor's Introduction to the Special Issue on e-Science," IEEE Intelligent Systems, vol. 19, no. 1, 2004, pp. 24–25.
2. F.-Y. Wang, "Toward a Paradigm Shift in Social Computing: The ACP Approach," IEEE Intelligent Systems, vol. 22, no. 5, 2007, pp. 65–67.
3. H. de Jong and A. Rip, "The Computer Revolution in Science: Steps Towards the Realization of Computer-Supported Discovery Environments," Artificial Intelligence, vol. 91, no. 2, 1997, pp. 225–256.
4. D. Waltz and B.G. Buchanan, "Automating Science," Science, vol. 324, no. 5923, 2009, pp. 43–44.
5. D. Hull et al., "Taverna: A Tool for Building and Running Workflows of Services," Nucleic Acids Research, vol. 34, 2006, pp. 729–732.
6. M. Wieczorek, R. Prodan, and T. Fahringer, "Scheduling of Scientific Workflows in the ASKALON Grid Environment," SIGMOD Record, vol. 34, no. 3, 2005, pp. 56–62.
7. D. De Roure, C. Goble, and R. Stevens, "The Design and Realisation of the myExperiment Virtual Research Environment for Social Sharing of Workflows," Future Generation Computer Systems, vol. 25, 2009, pp. 561–567.
8. Y. Gil et al., "Wings for Pegasus: Creating Large-Scale Scientific Applications Using Semantic Representations of Computational Workflows," Proc. 19th Ann. Conf. Innovative Applications of Artificial Intelligence (IAAI), AAAI, 2007, pp. 1767–1774.
9. Y. Gil et al., "Expressive Reusable Workflow Templates," Proc. 5th IEEE Int'l Conf. E-Science, IEEE Press, 2009, pp. 344–351.
10. V.S. Kumar et al., "Parameterized Specification, Configuration, and Execution of Data-Intensive Scientific Workflows," Cluster Computing J., vol. 13, no. 3, 2010, pp. 315–333.

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
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, Jan.-Feb. 2011, doi:10.1109/MIS.2010.9
Usage of this product signifies your acceptance of the Terms of Use.