Knowledge Integration Methods for Probabilistic Knowledge-based Systems

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. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and 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. This text will be useful for computer science graduates and Ph D students, in addition to researchers and readers working on knowledge management and ontology interpretation.Additional ISBNs9781032233888, 9781003277019, 9781000809961Knowledge Integration Methods for Probabilistic Knowledge-based Systems 1st Edition is written by Van Tham Nguyen; Ngoc Thanh Nguyen; Trong Hieu Tran and published by Chapman & Hall. ISBNs for Knowledge Integration Methods for Probabilistic Knowledge-based Systems are 9781000809992, 1000809994 and the print ISBNs are 9781032232188, 1032232188. Additional ISBNs include 9781032233888, 9781003277019, 9781000809961.