Wine Ontology (Wine)

The Wine Ontology is a comprehensive RDF-based vocabulary for describing wines, wine-making processes, vineyards, and the wine industry. It provides a detailed classification system for different types of wines (red, white, rosé, sparkling), wine regions, grape varieties, producers, and tasting characteristics. The ontology captures properties such as alcohol content, acidity, vintage year, and flavor profiles, enabling precise semantic representation of wine products and attributes. It integrates with related ontologies for representing food, geography, and commercial information, supporting applications in e-commerce, wine recommendation systems, and food science research. Example: A specific wine instance can be linked to its grape variety (Pinot Noir), wine region (Burgundy), producer, vintage year, and taste descriptors through well-defined ontology properties.

Metrics & Statistics

Graph Statistics

Total Nodes

729

Total Edges

1816

Root Nodes

84

Leaf Nodes

22
Knowledge Coverage Statistics

Classes

101

Individuals

161

Properties

13
Hierarchical Metrics

Maximum Depth

41

Minimum Depth

0

Average Depth

3.51

Depth Variance

29.20
Breadth Metrics

Maximum Breadth

164

Minimum Breadth

1

Average Breadth

17.19

Breadth Variance

1612.73
LLMs4OL Dataset Statistics

Term Types

161

Taxonomic Relations

47

Non-taxonomic Relations

1

Average Terms per Type

4.13

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import Wine

ontology = Wine()
ontology.load("path/to/Wine-ontology.rdf")

# Extract datasets
data = ontology.extract()

# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations