Handbook of Knowledge Representation
Chapter 20, Knowledge Representation and Question Answering, co-authored by Yuliya Lierler, UNO faculty member.
Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field.
This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.
* Make your computer smarter
* Handle qualitative and uncertain information
* Improve computational tractability to solve your problems easily
Van Harmelen, Frank; Lifschitz, Vladimir; Porter, Bruce; and Lierler, Yuliya, "Handbook of Knowledge Representation" (2008). Faculty Books and Monographs. 231.
Part of the Foundations of Artificial Intelligence series.
Balduccini, M., Baral, C., and Lierler, Y. (2008). Knowledge Representation and Question Answering. In Van, H. F., Lifschitz, V., & Porter, B. Handbook of Knowledge Representation. Burlington: Elsevier.