**Username or display name (will be displayed publicly): **Csisc
**Categories/Tags/Keywords (up to 5):** Wikidata,
**Session type (select one):** Tutorial (including Q/A)
**Session Details**
In this tutorial, I will introduce the joint research efforts of Data Engineering and Semantics Research Unit, University of Sfax, Tunisia alongside Wikimedia users and SisonkeBiotik, an open community of African biomedical machine learning enthusiasts, to develop bots for enriching and validating biomedical information in Wikidata through the analysis of PubMed, a large-scale bibliographic database for biomedical research publications. I will go through the source codes that have been developed in this context using multiple Python Libraries such as Wikibase Integrator and Biopython as well as using Toolforge tools like Hub. Then, I will slightly deal with the importance of such a work for the Wikimedia Community and our work for developing and evaluating our PubMed-based approaches for enriching and validating Wikidata.
**Target audience:**
People interested in automatically editing Wikidata, People working with Python Libraries, People working on developing medical knowledge in Wikidata
**What will participants get out of this session?**
Due to this session, attendees will learn more about how to process bibliographic metadata in PubMed for biomedical information retrieval. As well, attendees will know the methods for developing a Wikidata bot.
**(Optional) Additional resources:**
- Presentation of the Project at 2022 LD4 Conference on Linked Data: https://www.youtube.com/watch?v=SfP-vDzk860
- GitHub repository for MeSH2Matrix: https://github.com/SisonkeBiotik-Africa/MeSH2Matrix
- GitHub repository for RefB: https://github.com/Data-Engineering-and-Semantics/refb
- GitHub repository for Wikibase Integrator: https://github.com/LeMyst/WikibaseIntegrator
- Biopython Cookbook: http://biopython.org/DIST/docs/tutorial/Tutorial.html