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Modeling with rules using semantic k...

Nalepa, Grzegorz J.

Modeling with rules using semantic knowledge engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling with rules using semantic knowledge engineeringby Grzegorz J. Nalepa.
作者:	Nalepa, Grzegorz J.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xxvi, 435 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data mining.
電子資源:	http://dx.doi.org/10.1007/978-3-319-66655-6
ISBN:	9783319666556$q(electronic bk.)

Modeling with rules using semantic knowledge engineering
Nalepa, Grzegorz J.

Modeling with rules using semantic knowledge engineering[electronic resource] /by Grzegorz J. Nalepa. - Cham :Springer International Publishing :2018. - xxvi, 435 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1301868-4394 ;. - Intelligent systems reference library ;v.24..

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.

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.

ISBN: 9783319666556$q(electronic bk.)

Standard No.: 10.1007/978-3-319-66655-6doiSubjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.6 / .N35 2018

Dewey Class. No.: 005.115

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