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.
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In The Fifth International Conference on Knowledge Capture (KCAP2009) 2009.
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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