Welcome to wikiframeVG (Wikiframe Visual Graph), an open-source community initiative and tool aimed to help Wikidata editors and users explore knowledge generated from organized Wikidata sprints. wikiframeVG adopts a community driven, SPARQL template-based approach towards Wikidata graph exploration.
The application interacts with Wikidata's SPARQL query service and provides users with point-and-click tools to search and filter information. No SPARQL or other coding knowledge will be required to retrieve data linked across the Wikidata knowledge graph.
Try out WikiframeVG at https://wikiframe.library.unlv.edu .
- Darnelle Melvin: Project sponsor and SPARQL developer.
- Cory Lampert: Project sponsor and linked data advisor.
- Andre Hulet: Application developer.
- Python with Django web development framework.
- Apache web server.
- MySQL 8 database server.
For information on the work plan, see the Project associated with this repository.
For use cases, requirements, and feature descriptions, see the repository wiki.
Source code is made available under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). For questions, contact Darnelle Melvin.
[1] Melvin, D., Hulet. A., & Lampert, C. K. (2023). WikiframeVG: A SPARQL template-based framework for Wikidata graph exploration and visualization. In L-A Kaffee, S. Razniewski, K. Alghamdi, & H. Arnaout (Eds.), Proceedings of the Wikidata Workshop 2023 co-located with the 22nd International Semantic Web Conference (ISWC2023). CEUR Workshop Proceedings. (https://ceur-ws.org/Vol-3640/paper15.pdf)