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 research on modeling formalisms and model revision,
and we suggest priorities for additional research.
An Interactive Environment for the Modeling and Discovery of Scientific Knowledge
Bridewell, W., Sanchez, J. N., Langley, P., & Billman, D. (2006)
International Journal of Human-Computer Studies
, 64, 1099-1114
Berlin, Germany: Springer