| | Friend of a Friend (FOAF) |
| | ======================================================================================================================== |
| |
|
| | Overview |
| | -------- |
| | FOAF is a project devoted to linking people and information using the Web. |
| | Regardless of whether information is in people's heads, in physical or digital documents, |
| | or in the form of factual data, it can be linked. |
| |
|
| | :Domain: Social Sciences |
| | :Category: Social |
| | :Current Version: 0.1 |
| | :Last Updated: 14 January 2014 |
| | :Creator: Dan Brickley, Libby Miller |
| | :License: Creative Commons |
| | :Format: RDF |
| | :Download: `Friend of a Friend (FOAF) Homepage <http://xmlns.com/foaf/0.1/>`_ |
| |
|
| | Graph Metrics |
| | ------------- |
| | - **Total Nodes**: 168 |
| | - **Total Edges**: 504 |
| | - **Root Nodes**: 5 |
| | - **Leaf Nodes**: 87 |
| |
|
| | Knowledge coverage |
| | ------------------ |
| | - Classes: 15 |
| | - Individuals: 13 |
| | - Properties: 60 |
| |
|
| | Hierarchical metrics |
| | -------------------- |
| | - **Maximum Depth**: 1 |
| | - **Minimum Depth**: 0 |
| | - **Average Depth**: 0.17 |
| | - **Depth Variance**: 0.14 |
| |
|
| | Breadth metrics |
| | ------------------ |
| | - **Maximum Breadth**: 5 |
| | - **Minimum Breadth**: 1 |
| | - **Average Breadth**: 3.00 |
| | - **Breadth Variance**: 4.00 |
| |
|
| | Dataset Statistics |
| | ------------------ |
| | Generated Benchmarks: |
| | - **Term Types**: 13 |
| | - **Taxonomic Relations**: 11 |
| | - **Non-taxonomic Relations**: 21 |
| | - **Average Terms per Type**: 13.00 |
| |
|
| | Usage Example |
| | ------------- |
| | .. code-block:: python |
| |
|
| | from ontolearner.ontology import FOAF |
| |
|
| | # Initialize and load ontology |
| | ontology = FOAF() |
| | ontology.load("path/to/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 |
| |
|
