Knowledge Representation for Question Answering
Knowledge Systems Laboratory
Stanford University

Abstract: Knowledge Representation for Question Answering

Question answering systems that produce "knowledgeable" answers are highly desirable. As web use and, in particular, web search, continues to grow, there is increasing demand for information that can be accessed in what appears to be a more intelligent manner (e.g., [Hagen, et al, 2000]). There are many fields from which to access techniques that can be leveraged to improve question answering. In this paper we briefly address some ways that the field of knowledge representation has been and may be leveraged to impact applications that retrieve answers.

Deborah L. McGuinness `` Knowledge Representation for Question Answering ''. In the Proceedings of the American Association for Artificial Intelligence Spring Symposium Workshop on New Directions for Question Answering. Stanford University, Stanford, CA. March 2003. abstract .

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