AI-BRIDGES is hosting monthly meetings on the last Friday of the month at 15:00 UK time. The meetings are meant to bring together individual, communities, organizations and institutions that are interested in bridging institutional data, Linked Open Data, and GenAI, with the main goal of aligning efforts and working collaboratively toward practical solutions.
Recognizing how precious participants’ time is, the AI-BRIDGES Open Forum is strategically designed to bring value to participants, but adopting a semi-structured approach: each meeting will host 2 presenters, who will briefly share an aspect of their work. This could be an experiment they are involved in, a project, tool or workflow designed that can then inform the conversation. After the presentation, the last 30 minutes of the meeting will be dedicated to collaboratively designing the pipeline.
Meetings will be recorded and shared in a dedicated playlist, so that participants joining later can always follow and catch up.
For more information, details and link to the meetings, please join the dedicated Google Group here: https://groups.google.com/g/ai-bridges.
For any further inquiries, please contact us at: [email protected].
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§ Coming meetings:
Details on March meeting here:
https://ai-bridges.org/2026/03/21/ai-bridges-open-forum-march-meeting/
§ Previous meetings
February meeting summary
The recording is available below, as is an AI summary, and here is a link to the playlist that will host all future meetings.
If there are any questions to Philippe or Mathias, please feel free to simply ask in this thread, as well as share any resources or cases you come across that may be of relevance.
Please note: Our next meeting will take place March 27th at 15:00. We will have two presenters in the first hour and the last half hour will be dedicated to presenting how we will be working together on designing the pipeline / workflow for institional data donation.
Link to calendar invite here.
AI short summary
After a round of introductions, and an intro to AI-BRIDGES and the goals of the Open Forum meetings, the meeting focused on discussing the Wikidata embedding project and its potential applications. Philippe Saade presented the vector database and Model Context Protocol (MCP) developed to improve accessibility of Wikidata through semantic search. The project aims to enable generative AI models to reference Wikidata data, reducing misinformation and amplifying underrepresented knowledge. Participants explored the differences between keyword, Sparkle, and vector searches, as well as the use cases for the MCP. Mathias shared his experience with open data and the impact of generative AI on data manipulation and tool creation. The discussion touched on the challenges and opportunities of using AI to enhance data accessibility and utilization in the Wikimedia ecosystem.
Recording of February meetings:
Shani and the AI-BRIDGES team.|