Graph Query Language SMS Ontology (OWL / Turtle)

This repository primarily contains an OWL 2 ontology serialized in Turtle (.ttl). The ontology is intended to represent a structured conceptualization of a domain (classes, properties, individuals, and axioms) and to serve as a reusable, machine-queryable artifact.

Online access

A web-based visualization of the ontology is available at:

• Visualization: https://domel.github.io/graphquerylangs/ont/

The ontology file itself is published at:

• Ontology (Turtle): https://domel.github.io/graphquerylangs/ont/index.ttl

Repository contents

• index.ttl — the ontology file (OWL 2 in Turtle syntax)

If the ontology file has a different name in your repository, adjust the references in this README accordingly.

Ontology at a glance

The ontology is provided as a single Turtle file and can be:

• opened and inspected in tools such as Protégé,
• validated with standard RDF/OWL tooling,
• queried using SPARQL (after loading into an RDF store),
• integrated into pipelines that rely on OWL reasoning / inference (depending on the reasoner and profile).

Metrics

The following metrics summarize the current ontology snapshot:

Metric	Value
Axiom	499
Logical axiom count	275
Declaration axioms count	97
Class count	13
Object property count	21
Data property count	3
Individual count	58
Annotation Property count	3
SubClassOf	20
SubObjectPropertyOf	3
FunctionalObjectProperty	6
TransitiveObjectProperty	1
SymmetricObjectProperty	1
AsymmetricObjectProperty	1
IrrefexiveObjectProperty	2
ObjectPropertyDomain	21
ObjectPropertyRange	21
FunctionalDataProperty	3
DataPropertyDomain	3
DataPropertyRange	3
ClassAssertion	58
ObjectPropertyAssertion	121
DataPropertyAssertion	10
AnnotationAssertion	127

Getting started

Option A: Open in Protégé (recommended for inspection)

1. Install Protégé.
2. Open index.ttl.
3. (Optional) Run a reasoner (e.g., HermiT / Pellet, depending on your setup) to classify the ontology and detect inconsistencies.

Option B: Syntax validation (RDF/Turtle)

Examples of command-line validation you can use in CI or locally:

• Raptor (rapper):

  rapper -i turtle -c index.ttl

• Apache Jena (riot):

  riot --validate index.ttl

Option C: Load into a triplestore

Load index.ttl into your RDF store of choice (e.g., GraphDB, Fuseki, Blazegraph) and query it via SPARQL.

Example SPARQL queries

Adjust the prefix IRI to match the ontology namespace used in index.ttl.

1) List all classes

PREFIX owl: <http://www.w3.org/2002/07/owl#>

SELECT ?c WHERE {
  ?c a owl:Class .
}
ORDER BY ?c

2) List object properties with declared domains and ranges

PREFIX owl:  <http://www.w3.org/2002/07/owl#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT ?p ?domain ?range WHERE {
  ?p a owl:ObjectProperty .
  OPTIONAL { ?p rdfs:domain ?domain . }
  OPTIONAL { ?p rdfs:range  ?range  . }
}
ORDER BY ?p

3) Count individuals by class

SELECT ?class (COUNT(?x) AS ?count) WHERE {
  ?x a ?class .
}
GROUP BY ?class
ORDER BY DESC(?count) ?class

License

Add your license here (e.g., MIT, Apache-2.0, CC-BY-4.0).
If you have not selected a license yet, consider adding a LICENSE file to clarify reuse conditions.