Mental Functioning Ontology of Emotions - Emotion Module (MFOEM)

The Mental Functioning Ontology of Emotions - Emotion Module (MFOEM) is a domain ontology designed to comprehensively represent affective phenomena, including emotions, moods, and their various dimensions and expressions. MFOEM provides a structured vocabulary for describing the bearers of emotions, types of emotions, their parts, and the dimensions along which they vary (such as intensity, duration, and valence). The ontology also covers facial and vocal expressions of emotions and the influence of affective phenomena on human behavior. MFOEM supports semantic annotation of psychological and neuroscientific data, enabling interoperability, data integration, and advanced analysis in affective science research. By providing a standardized framework, MFOEM facilitates cross-study comparison, meta-analysis, and the development of emotion-aware applications in artificial intelligence and human-computer interaction. The ontology is actively maintained and extended to incorporate new findings and requirements from the affective science community.

Example Usage: Annotate a psychological study with MFOEM terms to specify the types of emotions measured (e.g., “fear,” “joy”), their intensity, and observed facial expressions, enabling semantic integration and comparison across emotion research datasets.

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