Extracting Viewpoints from Knowledge Bases (1994)
Liane Acker and Bruce Porter
Viewpoints are coherent collections of facts that describe a concept from a particular perspective. They are essential for a wide variety of tasks, such as explanation generation and qualitative modeling. We have identified many types of viewpoints and developed a program, the View Retriever, for extracting them from knowledge bases, either singly or in combinations. The View Retriever provides a general solution to the central problem in extracting viewpoints: determining which facts are relevant to requested viewpoints. Our evaluation indicates that viewpoints extracted by the View Retriever are comparable in coherence to those people construct.
In Proceedings of the 12th National Conference on Artificial Intelligence, pp. 547-552 1994.

Bruce Porter Faculty porter [at] cs utexas edu