Classes, Properties, and Triples#
Like any language, an ontology has different types of “words” that we use to express meaning. Let’s break these down:
Classes and Individuals#
Classes are like categories or types of things. Think of them as nouns in a sentence:
A Person (
schema:Person
)A Book (
schema:Book
)A Material (
emmo:Material
)
Individuals are specific instances of these classes. If “Person” is the class, then “Marie Curie” would be an individual belonging to that class. We express this relationship like this:
ex:MarieCurie rdf:type schema:Person .
Properties#
Properties are like verbs - they describe relationships between things or their characteristics. For example:
hasAuthor
(connects a book to its author)birthDate
(specifies when someone was born)
Every property has rules about what it can connect:
The domain specifies what can appear at the start of the relationship
The range specifies what can appear at the end
For example, hasAuthor
might have:
Domain: Creative works (only creative works can have authors)
Range: Persons (only persons can be authors)
Building Statements with Triples#
In RDF, we combine classes, individuals, and properties to make statements called triples. Each triple has three parts:
Subject (what we’re talking about)
Predicate (the property or relationship)
Object (what we’re saying about the subject)
For example:
# A class relationship
schema:Book rdf:type schema:CreativeWork .
# Means: "A Book is a type of Creative Work"
# An individual relationship
ex:MyBook ex:hasAuthor ex:Alice .
# Means: "MyBook was written by Alice"
Types of Properties#
Properties come in three main flavors:
Object Properties connect things to other things:
ex:MyBook ex:hasAuthor ex:Alice . # Connects one resource to another resource
Data Properties connect things to values:
ex:Alice schema:birthDate "1965-07-20"^^xsd:date . # Connects a resource to a specific value
Annotation Properties add human-readable information:
schema:Book rdfs:comment "A written work, typically bound and published." . # Adds documentation or metadata
Together, classes, properties, and triples form the foundation of an ontology, structuring knowledge in a way that is both human-readable and machine-processable.