Modeling with rules using semantic knowledge engineering 1st ed.

Author

• Nalepa, Grzegorz J.

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319666556

Series

Intelligent systems reference library 130

Subject(s)

• DATA MINING
• RULE-BASED PROGRAMMING
• SEMANTIC COMPUTING

Notes

. .

Abstract

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 Dimension

Number of Page(s)

1 online resource (xxiv, 435 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01621/20	005.115 Nal M	Online !	Available