An Introduction to Knowledge Engineering

  • S. L. Kendal
  • M. Creen

Table of contents

About this book

Introduction

Knowledge Engineering, as a discipline and a profession, has emerged from the practical application of decades of research into artificial intelligence and intelligent systems. In particular, knowledge engineering refers to the development of systems that use knowledge, rather than data, to solve many novel computing problems. This is achieved by the application of computing techniques, closely associated with human cognitive processes, for transforming data into knowledge.

An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field. Its simple yet comprehensive treatment of knowledge based systems will provide the reader with a substantial grounding in such technologies as:

•expert systems

•neural networks

•genetic algorithms

•case based reasoning systems

•data mining

•intelligent agents.

The text includes activities and self assessments that provide opportunities for the reader to reflect on and reinforce their understanding of the concepts as they progress.

The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as Knowledge Engineering, Artificial Intelligence, Intelligent systems, Cognitive Neuroscience, Robotics and Cybernetics.

In addition, it is expected that anyone interested or involved in sophisticated information system developments will find the book a valuable source of ideas and guidance.

Keywords

algorithms data mining expert system genetic algorithms information system knowledge base knowledge engineering knowledge representation system development uncertain reasoning

Authors and affiliations

  • S. L. Kendal
    • 1
  • M. Creen
    • 2
  1. 1.School of Computing & TechnologyUniversity of SunderlandTyne and WearUK
  2. 2.Learning Development ServicesUniversity of SunderlandTyne and WearUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84628-667-4
  • Copyright Information Springer-Verlag London Limited 2007
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84628-475-5
  • Online ISBN 978-1-84628-667-4
  • About this book