One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a Learning-by-Reading system and this paper focuses on one aspect of it: the task of integrating together snippets of knowledge drawn from multiple texts to build a single coherent knowledge base. Our evaluation shows that our approach to the knowledge integration is both feasible and promising.
In The Fifth International Conference on Knowledge Capture (KCAP2009) 2009.

Ken Barker Formerly affiliated Research Scientist kbarker [at] cs utexas edu
Doo Soon Kim Ph.D. Alumni onue5 [at] cs utexas edu
Bruce Porter Faculty porter [at] cs utexas edu