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Knowledge Integration Methods for Probabilistic Knowledge-based Systems by Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran is a nonfiction available to read on EtoBox.

What is Knowledge Integration Methods for Probabilistic Knowledge-based Systems about?

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 con-sistency, 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 inte-grating process. The research results presented in the book can be ap-plied 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 interpreta-tion. Cover 1 Half Title 2 Title Page 4 Copyright Page 5 Contents 6 Preface 10 Authors 12 CHAPTER 1: Introduction 14 1.1. MOTIVATION 14 1.2. THE OBJECTIVES OF THIS BOOK 18 1.3. THE STRUCTURE OF THIS BOOK 19 CHAPTER 2: Probabilistic knowledge-based systems 21 2.1. KNOWLEDGE BASE REPRESENTATION 21 2.1.1. Knowledge R

Who reads Knowledge Integration Methods for Probabilistic Knowledge-based Systems?

Author

Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran

Publisher

CRC Press/Chapman & Hall

Published

2022

Language

EN

ISBN

9781032232188

Category

nonfiction

Subjects

Computer Science, Science, Management