Intro. To Knowledge Engineering “Knowledge Engineering is the process of developing knowledge based systems in any field, whether it be in the public or private sector, in commerce or industry”

Intro. To Knowledge Engineering Data “The fundamental, indivisible objects within an application” Information “The implicit functional associations between data in the application” Knowledge “The explicit functional associations between items of information and/or data” ( J.K. Debenham(1988) Knowledge Systems design, Prentice Hall )

Intro. To Knowledge Engineering Concepts Example If temperature is 5 C it feels cold Value Knowledge The temperature outside is 5 C Information Data 5 Facts and Figures

Intro. To Knowledge Engineering Tasks of a Knowledge Engineer Extracting knowledge from people Representing it in some form Including it in a computer program which makes use of that knowledge Validating the software system produced

Intro. To Knowledge Engineering A Knowledge Engineer must - Be bound by a professional code of conduct Update their knowledge and skills Adhere to rules, regulations and legal requirements

Intro. To Knowledge Engineering Knowledge Acquisition Knowledge Representation Software Design Implementation

Intro. To Knowledge Engineering Results of a survey undertaken in the U.K. in 1994 The 7 Most Important Skills for a Knowledge Engineer

Intro. To Knowledge Engineering Human Behaviour Can adapt in time and evolve Navigation Visual Recognition Avoid Danger Speech Use Basic Tools Simple Problem Solving Mimic Humans Build Mental Models Learn from being told Learn from the past Teach Solve complex problems Design, plan and schedule Create complex abstract models

Intro. To Knowledge Engineering Expert Systems Model higher order cognitive functions of the human mind Can be used to mimic decision making processes Applications include - Planning Scheduling and Diagnostics systems

Intro. To Knowledge Engineering Neural Networks Model the brain at a biological level Are adept at pattern recognition Can learn to read Can recognise patterns from experience Can be used to predict future trends

Intro. To Knowledge Engineering Case Based Reasoning Systems Model the human ability to learn from past experience Examples include - Legal cases