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Modeling with Rules Using Semantic Knowledge Engineering: Intelligent Systems Reference Library, cartea 130

Autor Grzegorz J. Nalepa
en Limba Engleză Hardback – 14 oct 2017
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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Specificații

ISBN-13: 9783319666549
ISBN-10: 3319666541
Pagini: 435
Ilustrații: XXVI, 435 p. 130 illus., 35 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică




Textul de pe ultima copertă

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.

Caracteristici

Provides an academic, yet practical perspective on knowledge engineering with rule-based systems Systematically presents the author’s research results in the area of intelligent rule-based systems Focuses on the semantic knowledge engineering (SKE) approach Is enriched with selected examples of intelligent system design Includes supplementary material: sn.pub/extras