Semantic Web for Earth and Environment Technology Ontology (SWEET)

SWEET (Semantic Web for Earth and Environmental Terminology) is a comprehensive collection of interconnected ontologies designed to improve discovery and use of Earth science data through semantic representation of Earth system science concepts and web resources [1] [2]. It conceptualizes a knowledge space for Earth system science that includes cross-cutting concepts such as space, time, Earth realms, phenomena, physical quantities, and units, alongside more domain-specific scientific concepts [1] [2]. SWEET is represented in OWL and organized as a modular ontology suite, enabling semantic interoperability and automated reasoning in Earth and environmental science applications [1] [2]. The ontology supports integration of heterogeneous Earth science datasets and models by providing shared semantic definitions across domains such as atmospheric science, oceanography, geology, and climate science [1] [2]. By providing a shared semantic framework, SWEET supports Earth science data discovery, semantic search, and knowledge management across distributed datasets and services [1] [2].

Example Usage: Annotate a climate or Earth observation dataset with SWEET terms to describe observed phenomena, Earth realm or layer, spatial and temporal context, and relevant physical quantities and units, enabling semantic search, automated linking of related datasets, and interoperable Earth science analysis [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

26249

Total Edges

64544

Root Nodes

244

Leaf Nodes

11866
Knowledge Coverage Statistics

Classes

10240

Individuals

2351

Properties

358
Hierarchical Metrics

Maximum Depth

15

Minimum Depth

0

Average Depth

3.62

Depth Variance

9.36
Breadth Metrics

Maximum Breadth

303

Minimum Breadth

2

Average Breadth

102.81

Breadth Variance

8823.90
LLMs4OL Dataset Statistics

Term Types

2219

Taxonomic Relations

16111

Non-taxonomic Relations

515

Average Terms per Type

11.50

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import SWEET

ontology = SWEET()
ontology.load("path/to/SWEET-ontology.owl")

# 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

References