Page 120 - DCAP506_ARTIFICIAL_INTELLIGENCE

Artificial Intelligence

Notes 9.1 Semantic Nets

The main thought is that:
 The meaning of a notion occurs from its relationship to other notions, and that,

 The information is accumulated by interconnecting nodes with labeled arcs.
9.1.1 Representation in a Semantic Net

The physical attributes of a person can be displayed as in Figure 9.1.

Figure 9.1: A Semantic Network

These values can also be displayed in logic as: isa(person, mammal), instance(Mike-Hall, person)
team(Mike-Hall, Cardiff)
Remember that isa and instance symbolize inheritance and are well-liked in many knowledge
representation systems. But we have a difficulty: How we can have more than 2 place predicates in
semantic nets?

Example: score(Cardiff, Llanelli, 23-6) Solution:
 Produce new nodes to symbolize new objects either contained or alluded to in the
knowledge, game and fixture in the existing example.
 Relate information to nodes and fill up slots (Figure 9.2).

Figure 9.2: A Semantic Network for n-Place Predicate

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