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.