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(1)

SEN-455

Knowledge Based

Management System

(2)
(3)

Chapter Objectives

The Knowledge Capture Process

How To Identify Experts

Single vs. Multiple Experts (Pros and Cons)

Interview As Knowledge Capture Tool

(4)

Stages of KMSLC

Evaluate Existing Infrastructure

Knowledge Capture

Design KM Blueprint Verify and validate the KM

System

Implement the KM System Manage Change and

Rewards Structure Form the KM Team

Iterative Rapid Prototyping

(5)

What Is Knowledge Capture ?

• A process by which the expert’s thoughts and experiences are captured

• A knowledge developer

collaborates with an expert to convert expertise into a coded program

• In simple terms, we want to

(6)

Three important steps

• Use an appropriate tool or

technique to elicit information from the expert

• Interpret the information and

conclude the expert’s knowledge and reasoning process

• Use the interpretation to build rules that represent expert’s solutions

(7)

Improving the Knowledge Capture

Process

• Focus on how experts approach a problem

• Look beyond the facts or the heuristics

• Re-evaluate how well the problem domain is

understood

• How accurate the problem is modeled

(8)

Experts qualifications

• The expert should know when to follow ideas, and when to make exceptions.

• The expert should be able to see the big picture. • The expert should posses good communication

skills.

• The expert should be able to tolerate stress. • The expert should be able to think creatively. • The expert should be able to exhibit

(9)

• The expert should use chunked knowledge.

• The expert should be able to generate interest as well as motivation.

• The expert should share his/her expertise freely and without hesitation.

• The expert should emulate an ideal teacher's habits.

(10)

• Highly expert persons.

• Moderately expert problem solvers. • New experts.

(11)

Using a Single Expert

Advantages:

• Ideal when building a simple KM system

• A problem in a restricted domain

• Easier to coordinate meetings

• Conflicts are easier to resolve • Shares more confidentiality

(12)

Using a Single Expert (cont’d)

Disadvantages:

• Sometimes expert’s knowledge is not easy to capture

• Single expert provides only a single line of reasoning

• Expert knowledge is sometimes dispersed

• Single expert more likely to change scheduled meetings than experts in a team

(13)

Using Multiple Experts

Advantages:

• Complex problem domains benefit from expertise of more than one expert

Working with multiple experts stimulates interaction

• Allow alternative ways of representing knowledge

• Formal meetings often a better environment for generating

(14)

Using Multiple Experts (cont’d)

Disadvantages:

• Scheduling difficulties

• Disagreements often occur among experts

• Confidentiality issues

• Requires more than one knowledge developer

• Overlapping mental processes can lead to “process loss”

(15)

Developing a Relationship With

Experts

Create the right impression

Understanding the expert’s

style

Prepare well for the session

Decide where to hold the

(16)

Approaching Multiple Experts

Individual

An extension of single expert

approach

•Primary and secondary

Start with the senior expert

first, on down to others in the hierarchy

Small groups

Each expert tested against

expertise of others in the group

(17)

Styles of expert’s expressions

Procedure type—methodical approach to

the solution

Storyteller—focuses on the content of

the domain at the expense of the

solution

Godfather—compulsion to take over the

session

(18)

Experts use

analogies

(similarities) to explain events

Expert’s knowledge is the

ability to take uncertain

information and use a

believable line of reasoning to

Analogies and Uncertainties in

Information

(19)

Reliable knowledge capture requires

understanding and interpreting

expert’s verbal description of

information, heuristics, etc.

For example, words like possible,

likely, and definite show relationships

between words and belief

Analogies and Uncertainties in

Information (cont’d)

(20)

The Interview As a Tool

Commonly used in the

early stages of tacit

knowledge capture

The voluntary nature of

(21)

The Interview As a Tool (cont’d)

Interviewing as a tool

requires training and

preparation

Convenient tool for

evaluating the validity of

information acquired

(22)

Types of Interviews

• Structured: Questions and responses are definitive. Used when specific information is required

• Semi-structured: Predefined questions are asked but allow expert some freedom in expressing the answers

• Unstructured: Neither the questions nor their responses specified in advance. Used when exploring an issue

(23)

Variations of Structured Questions

• Multiple-choice questions offer specific choices, faster arrangement, and less bias by the way answers are ordered

• Dichotomous (yes/no) questions are a special type of multiple-choice question

• Ranking scale questions ask expert to arrange items in a list in order of their important or preference

(24)

Guide to a Successful Interview

• Set the stage and establish understanding

• Properly phrase the questions • Question construction is

important

• Listen closely and avoid arguments

(25)

Things to Avoid

Recording a session without

advance permission from the

expert

Converting the interview into

an interrogation

Interrupting the expert

Asking questions that put the

(26)

Things to Avoid (Cont’d)

Losing control of the session

Pretending to understand an

explanation when you

actually don’t

Promising something that

cannot be delivered

Bring those items, which not

(27)

Sources of Error that Reduce

Information Reliability

Expert’s perceptual view

Expert’s failure to remember

just what happened

Expert’s fear of the unknown

(28)

Developer

Age effect

Race effect

(29)

Problems Encountered During the

Interview

Response bias

Inconsistency

Communication

difficulties

Hostile attitude

Standardized questions

Lengthy questions

References

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