Mental Functioning Ontology of Emotions - Emotion Module (MFOEM)

The Mental Functioning Ontology of Emotions - Emotion Module (MFOEM), also known as the Emotion Ontology, is a domain ontology for representing affective phenomena and concepts related to emotions [1] [2]. It was developed to support the semantic annotation and integration of data in affective science and neuroscience by providing a shared formal representation of emotion-related concepts [2].

MFOEM provides structured terms for describing emotions and related affective phenomena, including emotion types, their components, and associated features relevant to affective and neuroscientific research [1] [2]. The ontology supports annotation and comparison of heterogeneous datasets by enabling emotion-related information to be represented in a consistent, machine-readable form [2]. By providing standardized semantic descriptions, MFOEM facilitates data integration and interoperability across psychological, neuroscientific, and affective-science research [2].

Example Usage: Annotate an affective-neuroscience dataset with MFOEM terms to represent the emotions investigated in an experiment and associate those emotion concepts with experimental observations or neuroscientific data. This supports consistent semantic annotation and comparison of emotion-related data across studies [2].

Metrics & Statistics

Graph Statistics

Total Nodes

2542

Total Edges

5116

Root Nodes

163

Leaf Nodes

1513
Knowledge Coverage Statistics

Classes

637

Individuals

19

Properties

22
Hierarchical Metrics

Maximum Depth

13

Minimum Depth

0

Average Depth

2.24

Depth Variance

5.65
Breadth Metrics

Maximum Breadth

274

Minimum Breadth

1

Average Breadth

65.07

Breadth Variance

8317.35
LLMs4OL Dataset Statistics

Term Types

19

Taxonomic Relations

837

Non-taxonomic Relations

20

Average Terms per Type

4.75

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import MFOEM

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