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International Journal of Human-Computer Studies
Volume 64, Issue 11, November 2006, Pages 1099-1114
 
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doi:10.1016/j.ijhcs.2006.06.006    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier Ltd All rights reserved.

An interactive environment for the modeling and discovery of scientific knowledge

Will Bridewella, b, Corresponding Author Contact Information, E-mail The Corresponding Author, Javier Nicolás Sáncheza, E-mail The Corresponding Author, Pat Langleya, b, E-mail The Corresponding Author and Dorrit Billmana, b, E-mail The Corresponding Author

aComputational Learning Laboratory, Center for the Study of Language and Information, Stanford University, Stanford, CA 94305, USA bInstitute for the Study of Learning and Expertise, 2164 Staunton Court, Palo Alto, CA 94306, USA

Received 2 November 2004; 
revised 27 June 2006; 
accepted 28 June 2006. 
Communicated by H. Motoda. 
Available online 17 August 2006.

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Abstract

Existing tools for scientific modeling offer little support for improving models in response to data, whereas computational methods for scientific knowledge discovery provide few opportunities for user input. In this paper, we present a language for stating process models and background knowledge in terms familiar to scientists, along with an interactive environment for knowledge discovery that lets the user construct, edit, and visualize scientific models, use them to make predictions, and revise them to better fit available data. We report initial studies in three domains that illustrate the operation of this environment and the results of a user study carried out with domain scientists. Finally, we discuss related efforts on model formalisms and revision and suggest priorities for additional research.

Keywords: Scientific modeling; Interactive knowledge discovery; Model revision

Article Outline

1. Background and motivation
2. A language for process models
3. Visualization and simulation of process models
4. Revision of process models
5. Modeling an aquatic ecosystem using Prometheus
6. Modeling photosynthesis regulation with Prometheus
7. Feedback from users
8. Related research on modeling and discovery
9. Directions for future research
10. Concluding remarks
Acknowledgements
References












 
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