Knowledge Integration Methods for Probabilistic Knowledge-Based Systems

Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. This book provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. It also provides the mathematical background to solve problems of restoring consistency and problems of integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. Knowledge Integration Methods will be useful for Computer Science graduates and Ph.D students, in addition to researchers and readers working on knowledge management and ontology interpretation.