1. Concept Visualization for Ontologies of Artificial Intelligence Yu Suo TJHSST Computer Systems Lab George Mason University

2. Background The Disciple Learning Agent An artificial intelligence that can be adapted for many purposes military operations Teaching traveling

3. Decision aid Subject-matter experts can train and use when making decisions under stressful, complex, and constrained conditions Tool was developed and used under the Defense Advanced Research Rapid Knowledge Formation programs

4. Purpose research, create, and program a concept visualization tool easily browse small to large scale semantic networks and ontologies Used mainly by those who are not proficient at Computer Science

5. Aims to distribute information about the artificial intelligence in an easy and usable way.

6. Procedure and Methodology written in JAVA and called JDisciple Eclipse is used to provide a basic organized structure Simple to advanced cases Small to large cases Programmed in iterations to keep track of progress

7. Algorithms Algorithm to arrange/select elements –Greedy algorithm serves as a base/control –Paired with one or more heuristic functions –Dynamic Programming or more advanced methods may be used in the future

8. Algorithms Graph layout algorithm to place elements –Well structured –Find space, make space –Clear and readable –Process all types of graphs –Minimize cross-links –Accessible to end-users

9. JGraph for Visualizing Networks JGraph is an open source graph visualization library written in Java. JGraph is a fully Swing compatible component. The current DJGraph is derived from an older version of JGraph. Simplifies drawing process for networks, trees, and maps. Fairly versatile: Vertices and edges may be shapes, images, other Swing components, or animations.

13. Useful? Current graph layout algorithms often fail at very general cases Graphs are used to show – should be made clear and readable! Shows the complexity involved in a full fledged AI