Knowledge engineering involves eliciting domain expertise from experts, structuring the knowledge, formalizing it, and operationalizing it to build an intelligent agent with a knowledge base and inference engine. It aims to construct a program that can perform difficult tasks by capturing complex and sometimes differing information from multiple sources of knowledge representation. Proper knowledge engineering is important because knowledge often outlives implementations, knowledge management is valuable, and errors in the knowledge base can cause serious problems. The process also places heavy demands on extending and maintaining the knowledge over time as domains change.

1. Knowledge
Engineering
Presented By
Dheeraj

2. Knowledge engineering flow
Intelligent Agent
Domain Knowledge
Inference Engine
Expert Engineer
Dialog
Programming
Knowledge Base
Results

3. Knowledge engineering
process of
• eliciting,
• structuring,
• formalizing,
• operationalizing
information and knowledge involved in a knowledge-intensive
problem domain,
in order to construct a program that can perform a difficult task
adequately

4. Problems in knowledge engineering
• complex information and knowledge is difficult to observe
• experts and other sources differ
• multiple representations:
• textbooks
• graphical representations
• heuristics
• skills

5. Importance of proper knowledge
engineering
• Knowledge is valuable and often outlives a particular
implementation
• knowledge management
• Errors in a knowledge-base can cause serious problems
• Heavy demands on extendibility and maintenance
• changes over time

6. Thank You