— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
While complete understanding of arbitrary input text remains in the future, it is currently possible to construct natural language processing systems that provide a partial unders...
Peggy M. Andersen, Philip J. Hayes, Steven P. Wein...
Abstract. This paper presents a method for making metadata conforming to heterogeneous schemas semantically interoperable. The idea is to make the knowledge embedded in the schema ...
The concept of pattern, meant as an interesting knowledge artifact extracted from data, is considered to be a an effective answer to the advanced analysis requirements emerging in ...
In this paper, we address an issue that arises when the background knowledge used by explanationbased learning is incorrect. In particular, we consider the problems that can be ca...