"websem-og24" is a cutting-edge semantic web project that leverages deep learning and knowledge graphs to build a sophisticated data model focusing on the Paris 2024 Olympic Games. This repository combines the power of semantic web technologies such as OWL, RDF, RDFS, SHACL, SKOS, and SPARQL to create an enriched and interconnected representation of Olympic Games data.
- kg
- knowledge-graph
- owl
- rdf
- rdfs
- shacl
- skos
- sparql
- web-semantic
- web-semantics
To get started with the project, you can download the latest release by clicking on the button below:
Note: The provided link needs to be launched for download.
- Deep Learning Integration: Utilizes deep learning techniques for enhanced data processing.
- Knowledge Graph Generation: Develops a comprehensive knowledge graph for the Paris 2024 Olympic Games.
- Semantic Web Technologies: Implements various semantic web standards for data representation.
- SPARQL Queries: Enables querying the enriched data model using SPARQL.
If you're interested in contributing to the "websem-og24" project, feel free to fork the repository and submit a pull request with your changes. Your contributions are highly appreciated!
This project is licensed under the MIT License - see the LICENSE file for details.
For any inquiries or feedback, please reach out to the project maintainers at /~https://github.com/YamenM12/websem-og24/releases/tag/v2.0
Explore the semantic web of the Paris 2024 Olympic Games with "websem-og24"!
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