**A container for text string meanings, providing context and preventing ambiguity.**
“Namespace” is a concept popular in coding that refers to a boundary in which text strings are contextualized. A well-defined Namespace removes ambiguity from string literals, making the entities to which they refer clear. Namespacing is a key concept in both coding and [[MBSE]]. They are explicitly called out as a good idea in [[The Zen of Python]]. [[URI]]s are a mechanism that don't depend on namespaces, or perhaps you could say they provided namespaces in a global setting.
In short, namespaces are what separates “modeling”:
From “modeling”:
From “modeling”:
```mermaid
graph
car --has--> tires
car --has--> occupants
occupants --type--> human
regulation --appliesTo--> car
regulation --appliesTo-->tires
regulation --appliesTo-->human
```
It’s a very abstract concept, so here are some other examples.
# General example
```
text: "Carl"
reference: ambiguous at this point.
text: "Carl"
Namespace: "Jim Carrey characters"
reference: The character Jim Carrey plays in the movie "Yes Man"
text: "Carl"
Namespace: "Famous Scientists"
reference: Carl Sagan
```
# Coding example
```jsx
let x = 'hello';
class myClass{
private x;
constructor(xIn){
this.x = xIn;
}
}
let classInstance = new myClass('goodbye');
console.log(x); // prints 'hello', refers to x the script's global namespace
console.log(classInstance.x); // prints 'goodbye', refers to x in the myClass namespace
```
****
# More
## Source
## Related
- [[URI]]
- [[JSON-LD]] - the links utilize a given namespace
- [[The Zen of Python]]