EUropean Research Information Ontology (EURIO)

The EUropean Research Information Ontology (EURIO) conceptualizes, formally encodes, and makes available in an open, structured, and machine-readable format data about research projects funded by the EU’s framework programmes for research and innovation. It provides a structured vocabulary for representing research projects, funding information, and related data, supporting both theoretical and experimental research in research information management.

The ontology employs a class-based modeling approach, defining classes for different types of research projects, funding information, 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. EURIO supports the integration of data from various sources, promoting interoperability and data-driven research in research information management.

Typical applications of EURIO include the development of new research information management methods, the optimization of research project management practices, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, EURIO enhances collaboration and innovation in the field of research information management.

Example Usage: Annotate a research project with EURIO terms to specify project types, funding information, and related data, enabling semantic search and integration with research information management platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

502

Total Edges

1193

Root Nodes

18

Leaf Nodes

204
Knowledge Coverage Statistics

Classes

44

Individuals

0

Properties

111
Hierarchical Metrics

Maximum Depth

14

Minimum Depth

0

Average Depth

6.54

Depth Variance

11.75
Breadth Metrics

Maximum Breadth

56

Minimum Breadth

4

Average Breadth

24.73

Breadth Variance

192.33
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

43

Non-taxonomic Relations

4

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import EURIO

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