Knowledge Integration Methods for Probabilistic Knowledge-based Systems

This book provides a comprehensive overview of building knowledge-based systems, handling consistency, and integrating knowledge bases, with applications in decision support systems, semantic web systems, and more.

Format: Hardback
Length: 190 pages
Publication date: 30 December 2022
Publisher: Taylor & Francis Ltd

Knowledge-based systems (KBSs) are a powerful tool for managing and organizing information, and they play an increasingly important role in various fields such as decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, and cooperative information systems. In this book, we provide a comprehensive overview of building knowledge-based systems, including inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases.

Knowledge-based systems (KBSs) are a powerful tool for managing and organizing information, and they play an increasingly important role in various fields such as decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, and cooperative information systems. In this book, we provide a comprehensive overview of building knowledge-based systems, including inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases.

The first chapter of the book provides a comprehensive introduction to knowledge-based systems, including their definition, components, and applications. It also discusses the challenges and limitations of building KBSs, such as the need for accurate and up-to-date information, the complexity of managing large knowledge bases, and the difficulty of dealing with inconsistencies.

The second chapter focuses on inconsistency measures, which are used to assess the quality of knowledge bases. It introduces different types of inconsistency measures, such as semantic inconsistency, structural inconsistency, and temporal inconsistency, and discusses their properties and applications. The chapter also provides methods for handling inconsistencies, such as merging conflicting knowledge, resolving inconsistencies using constraints, and using knowledge representation techniques to handle inconsistencies.

The third chapter discusses methods for integrating knowledge bases, which is a crucial task in KBSs. It introduces different types of integration methods, such as knowledge fusion, knowledge integration, and knowledge representation, and discusses their properties and applications. The chapter also provides examples of integrating knowledge bases in real-world applications, such as decision support systems, semantic web systems, and medical imaging systems.

The fourth chapter discusses the mathematical background required to solve problems of restoring consistency and problems of integrating probabilistic knowledge bases in the integrating process. It introduces different types of probability distributions, such as Bayesian networks, Markov networks, and decision trees, and discusses their properties and applications. The chapter also provides methods for solving these problems, such as Bayesian inference, Markov chain Monte Carlo, and decision trees.

The fifth chapter presents the research results presented in the book, which can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. It discusses the benefits and limitations of using knowledge-based systems, and provides examples of successful applications in various fields.

The sixth chapter provides a conclusion of the book, summarizing the main points discussed in the previous chapters and highlighting the future research directions in the field of knowledge-based systems.

In conclusion, this book provides a comprehensive overview of building knowledge-based systems, including inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. It is a valuable resource for researchers, practitioners, and students in the field of computer science and information technology.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032232188