Document Components Ontology (DoCO) ======================================================================================================================== Overview -------- DoCO, the Document Components Ontology, is an OWL 2 DL ontology that provides a general-purpose structured vocabulary of document elements. DoCO has been designed as a general unifying ontological framework for describing different aspects related to the content of scientific and other scholarly texts. Its primary goal has been to improve the interoperability and shareability of academic documents (and related services) when multiple formats are actually used for their storage. :Domain: Education :Category: document components :Current Version: 1.3 :Last Updated: 2015-07-03 :Creator: David Shotton and Silvio Peroni :License: Creative Commons 4.0 :Format: OWL, TTL, CSV, NT :Download: `Document Components Ontology (DoCO) Homepage `_ Graph Metrics ------------- - **Total Nodes**: 442 - **Total Edges**: 922 - **Root Nodes**: 12 - **Leaf Nodes**: 73 Knowledge coverage ------------------ - Classes: 137 - Individuals: 0 - Properties: 7 Hierarchical metrics -------------------- - **Maximum Depth**: 25 - **Minimum Depth**: 0 - **Average Depth**: 8.29 - **Depth Variance**: 25.91 Breadth metrics ------------------ - **Maximum Breadth**: 35 - **Minimum Breadth**: 1 - **Average Breadth**: 14.54 - **Breadth Variance**: 110.71 Dataset Statistics ------------------ Generated Benchmarks: - **Term Types**: 0 - **Taxonomic Relations**: 156 - **Non-taxonomic Relations**: 7 - **Average Terms per Type**: 0.00 Usage Example ------------- .. code-block:: python from ontolearner.ontology import DoCO # Initialize and load ontology ontology = DoCO() ontology.load("path/to/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