Semantic net

A semantic net is like a big chart that helps computers understand different things and how they are related to each other. Imagine you have a big bucket of toys and you want to organize them by how they are similar or different. You might put all the stuffed animals in one pile, all the cars in another pile, and all the balls in another pile.

A semantic net does something similar but with words instead of toys. It helps a computer understand how different words are related to each other by organizing them into groups or categories. For example, the word "apple" might be in a group with other fruit like "orange" and "banana." The word "dog" might be in a group with other animals like "cat" and "bird."

The semantic net also helps the computer understand how different groups or categories are related to each other. For example, the group of fruits might be related to the group of vegetables because they are both things we eat. The group of animals might be related to the group of plants because animals eat plants to survive.

Overall, the semantic net helps computers understand words and how they are related to each other, which is important for things like natural language processing and artificial intelligence.