Capturing knowledge from domain text with controlled language

This paper describes a prototype system which captures semantic knowledge from domain text using controlled language. The KANTOO system is used to analyze input sentences from college-level science textbooks, producing sentence-level meaning representations (interlingua). The interlingua expressions are mapped into F-logic statements, which are be stored in a separate knowledge base to support reasoning in the domain.