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(1)

EXPERT

SYSTEM

Dr. Khoerul Anwar, S.T.,M.T

STMIK Pradnya Paramita

(2)

KNOWLEDGE MODELING

METHODS

Manual methods (iterview )

structured,

semistructured,

unstructured

Semiautomatic methods

intended to support the experts by allowing them to build

knowledge bases with little or no help from knowledge engineer

intended to help knowledge engineers by allowing them to

execute the necessary tasks in a more efficient or effective

manner

Automatic methods

the expert and the knowledge engineer are minimized or even

(3)
(4)

STRUCTURED

INTERVIEWS

A structured interview is a systematic,

goal-oriented process.

Organized communication between the

(5)

CONT…

 The knowledge engineer studies available material on the domain to

identify major demarcations of the relevant knowledge.

 The knowledge engineer reviews the planned ES capabilities. He or

she identifies targets for the questions to be asked during the knowledge acquisition session.

 The knowledge engineer formally schedules and plans the structured

interviews (using a form). Planning includes attending to physical arrangements, defining knowledge acquisition session goals and agendas, and identifying or refining major areas of questioning.

 The knowledge engineer may write sample questions, focusing on

question type, level, and questioning techniques.

 The knowledge engineer ensures that the domain expert

understands the purpose and goals of the session and encourages the expert to prepare before the interview.

 During the interview, the knowledge engineer follows guidelines for

conducting interviews.

 During the interview, the knowledge engineer uses directional control

(6)

OTHER MANUAL KNOWLEDGE

MODELING METHODS

Case analysis

Critical incident analysis.

Discussions with users.

Commentaries.

Conceptual graphs and models.

Brainstorming.

Prototyping

Multidimensional scaling.

(7)

Automatic Knowledge Modeling Methods

The process of using computers

to

extract knowledge from data is called

knowledge discovery.

There are

two major reasons

for the use

of automated knowledge acquisition

Good knowledge engineers are highly paid

and difficult to find, and

domain experts are usually busy and

(8)

Cont..

manual and even semiautomatic elicitation

methods are slow and expensive (

deficiencies

)

The correlation between verbal reports and mental

behavior is often weak.

In certain situations, experts are unable to provide

an overall account of how they make decisions.

The quality of the system depends too much on the

quality of the expert and the knowledge engineer.

The expert does not understand the ES technology.

The knowledge engineer may not understand the

business problem.

(9)

Cont…

Roiger and Geatz (2003), typical

methods for

knowledge discovery

include the following:

(10)

Referensi

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