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.
Modeling with Rules Using Semantic Knowledge Engineering
RRP:
$184.00
Description
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.
This book constitutes the refereed proceedings of the 4th Conference on Knowledge Engineering and the Semantic Web, KESW 2013, held in St. Petersburg, Russia, in October 2013. The 18 revised full...
The central themes of the 14th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2004) were ontological engineering and the Semantic Web. These provide the key...
How can we make the Web more useful, more intelligent, and more knowledge intensive to fulfill our demanding learning and working needs? Visual Knowledge Modeling for Semantic Web Technologies:...
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