Knowledge Acquisition via Knowledge Integration
Pavel Brazdil & Luís Torgo
1990
Abstract
In this paper we are concerned with the problem of acquiring
knowledge by integration. Our aim is to construct an
integrated knowledge base from several separate sources. The need to
merge knowledge bases arise, for example, when knowledge bases are
acquired independently from interactions with several domain experts.
As opinions of different domain experts may differ, too. A similar
problem can arise also whenever separate knowledge bases are generated
by learning algorithms. The objective of integration is to
construct one system that exploits all the knowledge
that is available and has good performance. The aim of this paper is
to discuss the methodology of knowledge integration, describe the
implemented system (INTEG.3) and present some concrete results which
demonstrate the advantages of this method.