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Parminder Kaur, Lovely Professional University Unit 5: Knowledge Representation

Unit 5: Knowledge Representation Notes

CONTENTS
Objectives
Introduction
5.1 General Concepts of Knowledge

5.1.1 Explicit Knowledge
5.1.2 Tactic Knowledge
5.1.3 Knowledge Representation

5.1.4 Trends in Knowledge Engineering
5.1.5 Knowledge Acquisition: State-of-the-Art
5.2 Approaches of Knowledge Representation
5.2.1 Frames
5.2.2 Rules

5.2.3 Semantics
5.3 Predicate Logic to Represent Knowledge
5.3.1 Isa and Instance Relationships

5.4 Resolution
5.4.1 Normal Forms
5.4.2 Resolution Rule of Inference
5.4.3 Applying Resolution
5.5 Unification Algorithm

5.5.1 Diversity of Commonsense Thinking
5.6 Summary
5.7 Keywords

5.8 Review Questions
5.9 Further Readings

Objectives

After studying this unit, you will be able to:
 Understand the general concepts of knowledge

 Discuss the approaches of knowledge representation
 Understand the use of predicate logic to represent knowledge
 Discuss the resolution
 Illustrate the unification algorithm

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