# Semantics and Semantic Networks (AI) ### Overview A **semantic network** captures both the *objects* and the *relationships* between the objects:  Given a network, we are then often interested in how it *changes* over time:  ### Structure of Semantic Networks A knowledge representation will have: * **Lexicon**: Tells us about the vocabulary about that representation language * **Structure**: Tells us about how the words of the vocabulary can be composed together into complex representations * **Semantics**: Tells us how the representation allows us to draw inferences so that we can reason (below the semantics are the labels)  --- Date: 20210806 Links to: [004-Unsupervised-MOC](004-Unsupervised-MOC.md) [003-Data-Science-MOC](003-Data-Science-MOC.md) Tags: References: * [Introduction to semantic networks](https://www.youtube.com/watch?v=TWGTJyK2BJA) * [Structure of semantic networks](https://www.youtube.com/watch?v=ZuFhochfurM&list=PLAwxTw4SYaPkdANSntXhY0btWkpPglDGD&index=67)