Information Science // Structure

TAXONOMY &
ONTOLOGY

Taxonomy provides the shelves; Ontology provides the map. These are the twin pillars of organizing knowledge, allowing us to move from simple lists to complex, interconnected semantic webs.

Tree vs. Web

A Taxonomy organizes items into a hierarchy (Parent/Child). It is rigid but easy to navigate.

An Ontology organizes items by their relationships (Subject-Predicate-Object). It is complex but allows machines to understand context.

Hierarchy

Nested categories. e.g., Kingdom > Phylum > Class.

Semantics

Meaning defined by connection. e.g., 'A Dog is a Mammal'.

Folksonomy

User-generated structure via tagging (Hashtags).

RDF Triples

The atomic unit of Ontology: Subject -> Predicate -> Object.

[Image of semantic web layer cake]

The Linnaean System

Carl Linnaeus created the most famous taxonomy in 1735, classifying all life into kingdoms and species. It is the foundation of modern biology.

[Image of Linnaean taxonomy chart]

Taxonomy Viewer

Entity
Living Thing
Animal
Mammal
Reptile

A strict hierarchy. Each item has one parent. Good for filing systems.

RDF Syntax (The Triple)

Ontologies are often written in RDF/XML or Turtle. This allows computers to "read" the relationship.

<rdf:Description about="http://example.org/Cat">
  <ex:eats rdf:resource="http://example.org/Mouse" />
</rdf:Description>