Framester Ontology (Framester)

Framester is a frame-based ontological resource acting as a hub between linguistic resources such as FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, and leveraging this wealth of links to create an interoperable predicate space formalized according to frame semantics and semiotics. Framester uses WordNet and FrameNet at its core, expands it to other resources transitively, and represents them in a formal version of frame semantics. It provides a structured vocabulary for representing linguistic resources, supporting both theoretical and experimental research in linguistics.

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

Typical applications of Framester include the development of new linguistic resource integration methods, the optimization of linguistic data management practices, and the integration of diverse datasets to support advanced analytics and knowledge discovery. By providing a standardized vocabulary and framework, Framester enhances collaboration and innovation in the field of linguistics.

Example Usage: Annotate a linguistic dataset with Framester terms to specify linguistic resources, frames, and relationships, enabling semantic search and integration with linguistic information management platforms.

Metrics & Statistics

Graph Statistics

Total Nodes

174

Total Edges

398

Root Nodes

85

Leaf Nodes

38
Knowledge Coverage Statistics

Classes

59

Individuals

0

Properties

77
Hierarchical Metrics

Maximum Depth

3

Minimum Depth

0

Average Depth

0.69

Depth Variance

0.65
Breadth Metrics

Maximum Breadth

85

Minimum Breadth

4

Average Breadth

42.25

Breadth Variance

937.69
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

135

Non-taxonomic Relations

1

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import Framester

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