Page 119 - DCAP506_ARTIFICIAL_INTELLIGENCE
P. 119
Dinesh Kumar, Lovely Professional University Unit 9: Weak Slot and Filler Structures
Unit 9: Weak Slot and Filler Structures Notes
CONTENTS
Objectives
Introduction
9.1 Semantic Nets
9.1.1 Representation in a Semantic Net
9.1.2 Inference in a Semantic Net
9.1.3 Extending Semantic Nets
9.2 Frames
9.2.1 Frame Knowledge Representation
9.2.2 Interpreting Frames
9.3 Summary
9.4 Keywords
9.5 Review Questions
9.6 Further Readings
Objectives
After studying this unit, you will be able to:
Understand the concept of weak slot and filler structures
Discuss the concept of semantic nets
Describe the frames
Introduction
Weak Slot and Filler Structures facilitates attribute values to be improved speedily where
declarations are indexed by the entities and binary predicates are indexed by first argument. E.g.
team (Mike-Hall, Cardiff). Properties of relations are simple to illustrate. It permits ease of
deliberation as it embraces features of object-oriented programming. It is so called for the
reason that:
A slot is an attribute value pair in its simplest outline.
A filler is a value that a slot can take — could be a numeric, string (or any data type) value
or a pointer to a different slot.
A weak slot and filler structure does not consider the content of the representation.
We will consider here two types:
Semantic Nets.
Frames.
LOVELY PROFESSIONAL UNIVERSITY 113