Intro. To Knowledge Engineering 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 EngineeringIntro. 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 EngineeringIntro. To Knowledge Engineering

Value

Concepts

Data

Information

Knowledge

Facts and Figures

5

The temperature outside is 5 C

If temperature is 5 C it feels cold

Example

Intro. To Knowledge EngineeringIntro. 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 EngineeringIntro. 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 EngineeringIntro. To Knowledge Engineering

• Knowledge Engineering Knowledge Acquisition

Knowledge Representation

Software Design

Implementation

Intro. To Knowledge EngineeringIntro. To Knowledge Engineering

• Results of a survey undertaken in the U.K. in 1994

Know. Rep.

Fact Finding

Human Skills

Verbal Skills

Analysis

Creativity

Management

The 7 Most Important Skills for a Knowledge Engineer

Intro. To Knowledge EngineeringIntro. 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 EngineeringIntro. 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 EngineeringIntro. 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 EngineeringIntro. To Knowledge Engineering

• Case Based Reasoning Systems• Model the human ability to learn from past

experience

• Examples include -• Legal cases