Using a Degree-of-Interest Model for Adaptive Visualizations in Protégé

d'Entremont, T., and M.-A. Storey. Proceedings of the 9th International Protégé Conference, Stanford University, July 23-26, 2006.

Visualizations are commonly used as a cognitive aid for preventing large ontologies and instance data. One challenge with these visual techniques is that the generated views are often very dense and complex. It is difficult to know which concepts to include in the visualization to meet a user's information needs. In this paper we present recent work that proposes using an attention-reactive interface to provide adaptive visualizations in Protege. This furthers our recent work in providing visualization "on demand" for maintenance, editing, and understanding tasks by drawing users' attention to concepts of interest within the context of the current task.