seemnevõrk

Seemnevõrk, also known as a semantic network, is a graphical representation of knowledge that uses nodes to represent concepts and edges to represent the relationships between those concepts. It is a type of knowledge representation that is used in artificial intelligence and cognitive science to model the relationships between different pieces of information.

The concept of a semantic network was first introduced by Allan M. Collins and Ross Quillian in the 1960s. It is based on the idea that human knowledge is organized in a network-like structure, with different concepts connected by various types of relationships.

In a semantic network, each node represents a concept, which can be a word, a phrase, or an object. The edges between the nodes represent the relationships between the concepts. These relationships can be of various types, such as "is-a" (e.g., "a cat is an animal"), "has-a" (e.g., "a car has a wheel"), or "part-of" (e.g., "a wheel is part of a car").

Semantic networks are used in various applications, such as natural language processing, information retrieval, and expert systems. They provide a flexible and intuitive way to represent and reason about knowledge, making them a valuable tool in the field of artificial intelligence.