Linking Open Descriptions of Events (LODE) ======================================================================================================================== Overview -------- People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. The LODE provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. It is a model for publishing records of events as Linked Data. A tools for populating this model and a prototype “event directory” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. :Domain: Events :Category: Events :Current Version: 2020-10-31 :Last Updated: 2020-10-31 :Creator: Ryan Shaw :License: Creative Commons Attribution 3.0 :Format: RDF, TTL :Download: `Linking Open Descriptions of Events (LODE) Homepage `_ Graph Metrics ------------- - **Total Nodes**: 81 - **Total Edges**: 115 - **Root Nodes**: 7 - **Leaf Nodes**: 59 Knowledge coverage ------------------ - Classes: 1 - Individuals: 0 - Properties: 7 Hierarchical metrics -------------------- - **Maximum Depth**: 4 - **Minimum Depth**: 0 - **Average Depth**: 2.12 - **Depth Variance**: 1.37 Breadth metrics ------------------ - **Maximum Breadth**: 19 - **Minimum Breadth**: 7 - **Average Breadth**: 12.00 - **Breadth Variance**: 25.60 Dataset Statistics ------------------ Generated Benchmarks: - **Term Types**: 0 - **Taxonomic Relations**: 4 - **Non-taxonomic Relations**: 0 - **Average Terms per Type**: 0.00 Usage Example ------------- .. code-block:: python from ontolearner.ontology import LODE # Initialize and load ontology ontology = LODE() 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