COM362 Knowledge Engineering

1
Knowledge Engineering Around the World

• John MacIntyre
• 0191 515 3778
• john.macintyre_at_sunderland.ac.uk

2
Two Surveys

• Research surveys carried out
• UK
• World

3
Survey One
4
Survey of Skills and Attributes of KEs in the UK

• Conducted by
• Peter Smith
• Paul Ross
• Elias Awad
• Caron Green
• John MacIntyre

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Gender

• GENDER PERCENTAGE
• Male 70
• Female 26
• Undeclared 4

6
Qualifications
7
Salary
8
Salary Ranges
9
Expert Systems Skills

• Chaining Techniques
• Knowledge Representation
• Protocol Analysis
• Task Analysis
• Concept Analysis
• Project Management
• Rapid Prototyping
• Modelling

10
Software Engineering
11
Software Engineering Skills

• CASE
• Dataflow
• Graphics
• NLP
• OS
• Design
• Programming

12
Systems Analysis
13
Systems Analysis Skills

• Database
• Communications/Networks
• Hardware
• Documentation
• Software Evaluation
• Human-Machine Interface

14
Information Gathering
15
Information Gathering

• Fact Finding
• Group Dynamics
• Planning
• Organisational skills
• Verbal
• Written
• Marketing
• Human Relation

16
Personality Attributes
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Personality

• Creativity
• Diplomacy
• Intelligence
• Logical Thinking
• Persistence
• Responsibility
• Self-Motivation

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Most Important Attributes
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Management
20
Creativity
21
Analysis
22
Verbal Skills
23
Human Skills
24
Fact Finding
25
Knowledge Representation
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Conclusions

• Management
• Creativity
• Analysis
• Verbal Skills
• Human Skills
• Fact Finding
• Knowledge Representation

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Survey Two
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World-Wide Survey

• Conducted by
• Walter Scales
• Ian Ferguson
• Peter Smith

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Responses

• Japan
• Netherlands
• Sweden
• Switzerland
• UK
• USA

• Australia
• Austria
• Canada
• Croatia
• Finland
• France
• Ireland

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Adoption level
31
Factors Inhibiting Uptake

• Why has knowledge engineering not taken off to a
  greater extent in your country?

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Too Expensive
33
Industry not suitably structured
34
Lack of confidence
35
Lack of Awareness
36
Lack of Expertise
37
Training
38
Training

• Largely Informal
• Few Courses
• Experiential
• Self Study
• Short Courses
• Computer Science Courses

39
Applications
40
Public Administration
41
Power Industry
42
Medical Diagnosis
43
Legal
44
Manufacturing
45
Conclusions

• Growing area
• Many applications
• Need for courses and training
• Great potential for the future

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Professional Bodies

• British Computer Society - Specialist Group on
  Expert Systems (SGES)
• most of the UKs leading KE people
• Neural Computing Applications Forum
• Neural nets, but related to KE
• International Association of Knowledge Engineers
• Based in USA, used to have a UK chapter
• Instigated Chartered Knowledge Engineer