What is partitioned semantic nets in Artificial Intelligence?
Answers
What is partitioned semantic nets
in Artificial intelligence?
semantic network is a graphic notation for representing knowledge in patterns of interconnected nodes. Semantic networks became popular in artificial intelligence and natural language processing only because it represents knowledge or supports reasoning. These act as another alternative for predicate logic in a form of knowledge representation.
The structural idea is that knowledge can be stored in the form of graphs, with nodes representing objects in the world, and arcs representing relationships between those objects.
Semantic nets consist of nodes, links and link labels. In these networks diagram, nodes appear in form of circles or ellipses or even rectangles which represents objects such as physical objects, concepts or situations.
Links appear as arrows to express the relationships between objects, and link labels specify relations.
Semantic nets are also referred to as associative nets as the nodes are associated with other nodes.
Answer:
Semantics is the study of meaning. There are two types of meaning: conceptual meaning and associative meaning. ... The conceptual meaning of concise is expressed in few words, but concise being a good thing is part of the associative meaning.