Knowledge integration across multiple texts

Authors:
Doo Soon Kim;Ken Barker;Bruce Porter
Affiliations:
University of Texas at Austin, Austin, TX, USA;University of Texas at Austin, Austin, TX, USA;University of Texas at Austin, Austin, TX, USA
Venue:
Proceedings of the fifth international conference on Knowledge capture
Year:
2009

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Abstract

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.