Text Analysis for Constructing Design Representations


The following is the presentation for the Fourth International Conference on Artificial Intelligence in Design at Stanford University.

Slide One - Title
Slide Two - Structured Design Representations
Slide Three - Some Open Questions
Slide Four - Some Answers
Slide Five - Learning Features from Geometry
Slide Six - Learning Concepts from Design Text
Slide Seven - From Information to Concepts
Slide Eight - Research Hypotheses
Slide Nine - Learning the Context
Slide Ten - Machine Learning - Clustering
Slide Eleven - Machine Learning - Belief Networks
Slide Twelve - Results - Belief Network
Slide Thirteen - Interpretations of Network
Slide Fourteen - Information Architecture
Slide Fifteen - Information Desktop
Slide Sixteen - Summary and Open Questions

| BEST Lab | Department of Mechanical Engineering | University of California at Berkeley

Send e-mail to adong@jerry.ME.Berkeley.EDU