Modeling with Rules Using Semantic Knowledge Engineering - Grzegorz J. Nalepa

Modeling with Rules Using Semantic Knowledge Engineering

Buch | Hardcover
XXVI, 435 Seiten
2017 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-66654-9 (ISBN)
106,99 inkl. MwSt

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.

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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.

Erscheinungsdatum
Reihe/Serie Intelligent Systems Reference Library
Zusatzinfo XXVI, 435 p. 130 illus., 35 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 853 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • automatic control engineering • Computational Intelligence • Control • Engineering • Engineering: general • Expert Systems • Intelligent Systems • Knowledge Acquisition • Knowledge-Based System • Robotics • Rule-Based Systems • Semantic Knowledge Engineering Approach • SKE
ISBN-10 3-319-66654-1 / 3319666541
ISBN-13 978-3-319-66654-9 / 9783319666549
Zustand Neuware
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