Knowledge integration across multiple texts

Doo Soon Kim, Ken Barker, Bruce Porter
2009 Proceedings of the fifth international conference on Knowledge capture - K-CAP '09  
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.
doi:10.1145/1597735.1597745 dblp:conf/kcap/KimBP09 fatcat:zeod5d4w4fbzpgtcinvn4mrfpu