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