Agenda

Overview of the proposed course content.


Day 1: The CommonKADS Methodology (date: 15th April)

Time Room Activity Speaker Description
09:00   Arrive    
09:30   Introduction Nigel Shadbolt  
09:45   Context Modeling in CommonKADS Tim Clarke Review of the tools available to model the focus task area, the organizational environment in which it is embedded, and the agents who perform the task.
10.45   Coffee    
11:00   The CommonKADS Knowledge Model Paul Smart The CommonKADS knowledge model details the knowledge types and structures which one encounters in a particular problem domain. The primary aim of the knowledge model is to detail the results of knowledge elicitation undertaken for a particular task area. The current session describes the basic structure of the knowledge model and the modeling formalisms that are used to represent the knowledge infrastructure of a focus task area. 
12.00   Lunch    
13.00   Reusable Components Tim Clarke CommonKADS features a number of re-usable components which can serve to increase the efficiency, quality and reliability of a knowledge system solution. Re-usable components include a library of task templates, a catalogue of inference descriptions and provisional domain schema specifications.
14.00   A Worked Example: The Sisyphus III Initiative Paul Smart The current session will focus on a small, but illustrative, knowledge-intensive task area with the express aim of demonstrating the practical application of the CommonKADS methodology to a real-world problem. Click here for further details. 
15.00   Coffee    
15.15   Communication & Design Modeling Paul Smart The CommonKADS communication model details the communication links between agents that must cooperate in the performance of a shared task. Together, the communication and knowledge model provide input to system specification and design issues which are detailed in the design model.
16.00   Software Tools To Support the Knowledge Engineering Process Clive Emberey Epistemics are a leading provider of software to support the knowledge elicitation process. The current session will review the advantages of software-assisted KA and the tools available to support the knowledge acquisition process. 

Current software development initiatives within Epistemics also aim to deliver a new suite of knowledge editing and compilation tools which will facilitate the transition from knowledge-level descriptions to functional prototype reasoning systems. The current session will detail the steps towards this objective and present the results of early work in the specification of a meta-level model of the CommonKADS domain.
16.45   Finish    
Evening activities: Meal at Highfield House Hotel

Day 2: Knowledge Acquisition Techniques (date: 16th April)

Time Room Activity Speaker Description
09:00   Arrive    
09:30   Introduction Nick Milton  
09.45   Problems in Acquiring Knowledge Nick Milton In practice, a range of problems may be encountered when trying to elicit knowledge from domain experts. This session aims to highlight common problems in knowledge acquisition, and offers some practical solutions.
10.30   Coffee    
10.45   Natural Techniques - Workshop Nick Milton A workshop providing experience in a range of 'natural' knowledge acquisition techniques, e.g. structured interview, protocol analysis.
11.30   Contrived Techniques - Presentation Nick Milton In contrast to the 'natural' techniques, contrived techniques elicit information in a manner that may well be unfamiliar to the expert. These techniques include repertory grid, laddering, concept sorting.
12.30   Lunch    
13.30   Contrived Techniques - Practical Nick Milton A practical session concentrating on the application of the contrived knowledge acquisition techniques described in the previous session.
14.45   Coffee    
15.00   Modeling Techniques Using PC-PACK Nick Milton PC-PACK is an integrated tool-kit that assists the knowledge engineer in the knowledge elicitation process. The combination of a diverse range of tools within one software package enables the knowledge elicitation engineer a high degree of flexibility in the analysis and representation of knowledge structures. 
16.00   Finish    


Author: Paul Smart 
Last Updated: Monday, 11 November 2002