Scientific Evidence and Provenance Information Ontology (SEPIO)

The Scientific Evidence and Provenance Information Ontology (SEPIO) is in its early stages of development, undergoing iterative refinement as new requirements emerge and alignment with existing standards is explored. SEPIO provides a structured vocabulary for representing scientific evidence, provenance, and related data, supporting both theoretical and experimental research in scientific evidence and provenance.

The ontology employs a class-based modeling approach, defining classes for different types of scientific evidence, provenance, and related data, along with properties to describe their characteristics and interactions. Hierarchies are used to organize classes into categories, enabling efficient data retrieval and analysis. SEPIO supports the integration of data from various sources, promoting interoperability and data-driven research in scientific evidence and provenance.

Typical applications of SEPIO include the development of new scientific evidence and provenance representation methods, the optimization of scientific evidence management practices, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, SEPIO enhances collaboration and innovation in the field of scientific evidence and provenance.

Example Usage: Annotate a scientific study with SEPIO terms to specify scientific evidence, provenance, and related data, enabling semantic search and integration with scientific evidence and provenance platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

1262

Total Edges

2385

Root Nodes

72

Leaf Nodes

781
Knowledge Coverage Statistics

Classes

129

Individuals

21

Properties

117
Hierarchical Metrics

Maximum Depth

14

Minimum Depth

0

Average Depth

3.17

Depth Variance

8.36
Breadth Metrics

Maximum Breadth

170

Minimum Breadth

1

Average Breadth

40.60

Breadth Variance

2186.24
LLMs4OL Dataset Statistics

Term Types

21

Taxonomic Relations

141

Non-taxonomic Relations

6

Average Terms per Type

4.20

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import SEPIO

ontology = SEPIO()
ontology.load("path/to/SEPIO-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