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Applications and Innovations in Intelligent Systems VIII

Proceedings of ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2000

  • Ann Macintosh
  • Mike Moulton
  • Frans Coenen

Table of contents

  1. Front Matter
    Pages i-viii
  2. Application Keynote Address

    1. Front Matter
      Pages 1-1
  3. Best Refereed Application Paper

    1. Front Matter
      Pages 17-17
  4. Knowledge Management and Knowledge Engineering

    1. Front Matter
      Pages 33-33
    2. Klaas Schilstra, Pieter Spronck
      Pages 49-62
    3. Alun Preece, Alan Flett, Derek Sleeman, David Curry, Nigel Meany, Phil Perry
      Pages 63-76
    4. W. Dixon, Q. Mehdi, N. Gough, J. Pitchford
      Pages 77-90
  5. Medical, Business and Personal Applications

    1. Front Matter
      Pages 91-91
    2. Feng Yu Lin, Sally McClean
      Pages 93-106
    3. J. T. Sykes, V. Konstantinou
      Pages 107-120
    4. Andrew Harvey, Joseph Devlin, Roy Johnston
      Pages 121-128
    5. Conor Hayes, Pádraig Cunningham
      Pages 129-138
  6. Engineering Applications

  7. Back Matter
    Pages 197-197

About these proceedings

Introduction

Ann Macintosh Napier University, UK The papers in this volume are the refereed application papers presented at ES2000, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000. The scope of the Application papers has expanded over recent years to cover not just innovative applications using traditional knowledge based systems, but also to include applications demonstrating the whole range of AI technologies. This volume contains thirteen refereed papers describing deployed applications or emerging applications, together with an invited keynote paper by Dr. Daniel Clancy of NASA Ames Research Centre. The papers were subject to refereeing by at least two "expert" referees. All papers which were controversial for some reason were discussed in depth by the Application Programme Committee. For the application stream, a paper is acceptable even if it describes a system which has not yet been installed, provided the application is original and the paper discusses the kinds of things that would help others needing to solve a similar problem. Papers have been selected to highlight critical areas of success (and failure) and to present the benefits and lessons learnt to other developers. Papers this year cover topics as diverse as: KBS for maintaining offshore platforms; Data Mining to predict corporate business failure; integrated AI techniques to support field service engineers; Natural Language applied to the Data Protection Act; knowledge management and the application of neural networks.

Keywords

artificial intelligence artificial neural network data mining expert system intelligence intelligent systems knowledge knowledge base knowledge engineering knowledge management modeling neural network optimization organization

Editors and affiliations

  • Ann Macintosh
    • 1
  • Mike Moulton
    • 2
  • Frans Coenen
    • 3
  1. 1.International Teledemocracy CentreNapier UniversityEdinburghUK
  2. 2.Department of Accounting and Management Science, Portsmouth Business SchoolUniversity of PortsmouthPortsmouthUK
  3. 3.Department of Computer ScienceUniversity of LiverpoolLiverpoolUK

Bibliographic information