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iCalendar Vocabulary (iCalendar) |
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======================================================================================================================== |
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Overview |
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-------- |
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iCalendar is an Internet standard for exchanging calendar and scheduling data across different applications |
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and platforms using a standardized text-based format (.ics). It enables interoperability for events, tasks, |
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and scheduling, supporting features like recurring events, invitations, and time zone adjustments. |
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While widely used in applications like Google Calendar and Outlook, its complexity and partial implementations |
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pose challenges, leading to efforts to integrate it with Semantic Web technologies |
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for enhanced data linking and automation. |
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:Domain: Events |
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:Category: Calendar and Scheduling |
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:Current Version: 1.14 |
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:Last Updated: 2004/04/07 |
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:Creator: Dan Connolly, W3C, Libby Miller, ASemantics |
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:License: Open Publication License |
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:Format: RDF |
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:Download: `iCalendar Vocabulary (iCalendar) Homepage <https://www.w3.org/2002/12/cal/>`_ |
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Graph Metrics |
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- **Total Nodes**: 496 |
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- **Total Edges**: 1271 |
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- **Root Nodes**: 4 |
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- **Leaf Nodes**: 93 |
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Knowledge coverage |
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------------------ |
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- Classes: 54 |
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- Individuals: 0 |
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- Properties: 49 |
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Hierarchical metrics |
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-------------------- |
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- **Maximum Depth**: 1 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 0.60 |
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- **Depth Variance**: 0.24 |
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Breadth metrics |
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- **Maximum Breadth**: 6 |
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- **Minimum Breadth**: 4 |
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- **Average Breadth**: 5.00 |
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- **Breadth Variance**: 1.00 |
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Dataset Statistics |
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Generated Benchmarks: |
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- **Term Types**: 0 |
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- **Taxonomic Relations**: 2994 |
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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 iCalendar |
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# Initialize and load ontology |
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ontology = iCalendar() |
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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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