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.
%0 Book
%1 Nalepa17
%A Nalepa, Grzegorz J.
%B Intelligent Systems Reference Library
%C Cham
%D 2017
%I Springer
%K 01821 103 springer book ai knowledge processing rules
%R 10.1007/978-3-319-66655-6
%T Modeling with Rules Using Semantic Knowledge Engineering
%V 130
%X 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.
%@ 978-3-319-66654-9
@book{Nalepa17,
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.},
added-at = {2017-12-16T16:54:02.000+0100},
address = {Cham},
author = {Nalepa, Grzegorz J.},
biburl = {https://www.bibsonomy.org/bibtex/28a4bf1411aea3540a40b988d15819e95/flint63},
doi = {10.1007/978-3-319-66655-6},
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isbn = {978-3-319-66654-9},
issn = {1868-4394},
keywords = {01821 103 springer book ai knowledge processing rules},
publisher = {Springer},
series = {Intelligent Systems Reference Library},
timestamp = {2018-04-16T12:06:10.000+0200},
title = {Modeling with Rules Using Semantic Knowledge Engineering},
username = {flint63},
volume = 130,
year = 2017
}