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.

@inproceedings{09KCapDKim, title={ Knowledge integration across multiple texts}, author={Doo Soon Kim and Ken Barker and Bruce Porter}, booktitle={The Fifth International Conference on Knowledge Capture (KCAP2009)}, url="http://www.cs.utexas.edu/users/ai-lab?09KCapDKim", year={2009} }