Modeling with Rules Using Semantic Knowledge Engineering

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...

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Bibliographic Details
Main Author: Nalepa, Grzegorz J. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
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.
Online Access:Full-text access
Description
Summary: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 Web, and context-aware systems on mobile devices. Rules offer an intuitive yet powerful method for representing human knowledge, and intelligent systems based on rules have many important applications. However, their practical development requires proper techniques and models - a gap that this book effectively addresses.
Physical Description:XXVI, 435 p. 130 illus., 35 illus. in color. online resource.
ISBN:9783319666556
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-66655-6

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