Knowledge Integration Methods For Probabilistic Knowledge Based Systems

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Knowledge Integration Methods for Probabilistic Knowledge-based Systems

Knowledge Integration Methods for Probabilistic Knowledge-based Systems
Author :
Publisher : CRC Press
Total Pages : 203
Release :
ISBN-10 : 9781000809961
ISBN-13 : 100080996X
Rating : 4/5 (96X Downloads)

Book Synopsis Knowledge Integration Methods for Probabilistic Knowledge-based Systems by : Van Tham Nguyen

Download or read book Knowledge Integration Methods for Probabilistic Knowledge-based Systems written by Van Tham Nguyen and published by CRC Press. This book was released on 2022-12-30 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.


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