Modeling with Rules Using Semantic Knowledge Engineering

• Main Author: Nalepa, Grzegorz J. (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Intelligent Systems Reference Library, 130
• Subjects: Computational intelligence.; Artificial intelligence.; Control engineering.; Computational Intelligence.; Artificial Intelligence.; Control and Systems Theory.

This book proposes a consistent methodology for building intelligent systems. It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business process systems, Semantic...

Table of Contents:

• Part I Domain of Rule-Based Systems
• Rules as a Knowledge Representation Paradigm
• Knowledge Engineering with Rules
• Selected Applications of Rule
• Part II Formal Models for Rules
• Formalism for Description of Decision Rules
• Formalized Integration of Rules and Processes
• Prototyping Structure of Rule Bases
• Handling Uncertainty in Rules
• Formalizing Interoperability in Rule Bases
• Part III Practical Studies in Semantic Knowledge Engineering
• Semantic Knowledge Engineering Approach
• Rule Interoperability with Expert System Shells
• Visual Software Modeling with Rules
• Using Rules to Support Software Testing
• Integrating Business Process Models with Rules
• Rule-Based Systems and Semantic Web
• Collaborative Knowledge Engineering with Wikis
• Designing Robot Control Logic with Rules
• Rules in Mobile Context-Aware Systems
• Index.