Applications and Innovations in Intelligent Systems VII Proceedings of ES99, the Nineteenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 1999

Following on from a three-year knowledge management project, seven organisations formed aco-operative group for knowledge management. This group meets through the Knowledge Management Implementers Forum (KMIF). Each of the organisations participating in this work are, by implication, interested in the development of KM. The aims of the forum are t9 exchange ideas and share experience in the areaofknowledge management. The organisations involved are: ~ British Aerospace (Samlesbury) ~ ICI ~ ICL ~ North WestWater ~ IDS Cad-Graphics ~ Liverpool John Moores University ~ NWAIAG (Blackburn College) 1.1 The Organisations Involved Each ofthe organisations has specific reasons for being involved in this project and in KM. The British Aerospace Samlesbury site is a large manufacturing site employing ground breaking technology for Europe's front line military aircraft. The factory works with a well-managed supply chain and works closely with other British Aerospace sites in the manufacture of aircraft components. It has set up a partnership with another Aerospace Company based on exchange of knowledge and therefore needs to value that knowledge. ICI is one of the UK's leading chemical companies and plays on an international stage. Changes in international supply and demand require ICI to respond quickly to market pressures. This means that the company needs to use its knowledge assets in a well managed way and put systems in place that increase the flexibility and ensure the security ofthese important assets.

Application Programme Chairmans Introduction - RK Ellis.- Best Refereed Application Paper: Skys the Limit, A Personal TV Listings Service for the Digital TV Age - B Smyth and P Cotter.- Knowledge and Process Management: Practical Approaches to Knowledge Management - JL Gordon, C Smith, S Scott, I McBriar, S Walbank, G Bain, P Unsworth. Capability Modelling and Knowledge Management - J Stader and A Macintosh. A Multi-Agent System for Emergent Process Management - J Debenham. Creating Knowledge Maps by Exploiting Dependent Relationships -JL Gordon.- Engineering Applications: Towards the Application of Case Based Reasoning to Decision-Making in Concurrent Product Development - BU Haque, RA Belecheanu, RJ Barson and KS Pawar. CBR Systems for Interpretation of Eddy-Current and Ultrasonic NDT Data - J Jarmulak. Improved Modelling and Control of Oil and Gas Transport Facility Operations using Artificial Intelligence - M Neuroth, P MacConnell, F Stronach, and P Vamplew. AI Planning: Solutions for Real World Problems - RS Aylett, GJ Petley, PWH Chung, B Chen, J Soutter and DW Edwards.- Decision Support Applications: Real Time Tactical Decision Support for a Maritime Aircraft - A McLachlan, R Thorn, P Millington and D Pears. Case-Based Reasoning for Nutrition Consulting - MAL Th, RC Bell, KG Camargo, R Webber, A Martins and RM Barcia. Data Mining at the West Midlands Police: A Study of Bogus Official Burglaries - R Adderley and P B Musgrove. Using Data Mining to Improve Clinical Decision Support - KE Burn-Thornton, J Attenbourgh and SI Thorpe.- Support Applications: Multiple Algorithms for Fraud Detection - R Wheeler and S Aitken. Applied Artificial Intelligence: A Risk Management Problem in Trade Finance - S Dalton. Constraints and Genetic Algorithm to Solve Transport Scheduling - F Arshad, A El-Rhalibi and G Kelleher. SHAMASH A Knowledge-Based System for Business Process Reengineering - D Camacho, R Aler, D Borrago, I Giraldez and A Sierra.- Engineering And Management Applications: Condition Monitoring of Ground Anchorages using an Artificial Neural Network and Wavelet Techniques - A Starkey, J Penman and AA Rodger. An Intelligent Control System for Fabrication of Optical Filters - DA Linkens, MF Abbod and J Metcalfe. Neuro-Fuzzy and Regression Techniques for CNC Thermal Error Compensation - W Dixon, Q Mehdi, N Gough and J Pitchford. AI-Based Speed Transducerless Control of Electromechanical Drives - P MacConnell, F Stronach and P Vas.