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June 19-20, 2024
Paris, France
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Wednesday, June 19 • 14:35 - 15:05
Wikidata Knowledge Graph to Enable Equitable and Validated Generative AI - Jonathan Fraine & Lydia Pintscher, Wikimedia Deutschland

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Generative AI has changed the information ecosystem. Open-access knowledge graphs like Wikidata (CC0) enable open-source applications to provide authenticated information as an equitable representation of world knowledge to LLM and ML applications. The Wikidata knowledge graph represents over 100M crowd-sourced, structured data items, populated by the Wikidata communities in ~300 languages. We will present a practical integration of Wikidata's open-source, open-access knowledge graph to provide well-cited information for Generative AI inference and validation. We will dive into the capabilities for semantic search over the Wikidata knowledge graph to augment and validate generative AI inference. We will exhibit how to leverage a vectorised Wikidata search API to enhance generative AI applications with crowd-sourced data, which represents a more equitable spectrum of human knowledge than standard internet corpora.
Speakers
avatar for Lydia Pintscher

Lydia Pintscher

Portfolio Lead for Wikidata, Wikimedia Deutschland
Lydia Pintscher is the Portfolio Lead for Wikidata at Wikimedia Deutschland and supports the project since its inception in 2012. She studied computer science at KIT and is a long-time contributor to open source and open culture projects, including as the Vice-President of KDE e... Read More →
avatar for Jonathan Fraine

Jonathan Fraine

Director of Engineering, Co-Lead of Software Development, Wikimedia Deutschland
Jonathan Fraine is the Co-Lead of Wikimedia Deutschland's (WMDE) Software Development Department (SWE). He coordinates the ops and org strategy for open-source Web and AI development at WMDE. He attained a PhD in astrophysics in 2015 and built Generative AI solutions for NASA to calibrate... Read More →

Wednesday June 19, 2024 14:35 - 15:05 CEST
Sorbonne Descartes & Lutèce (Level 5)
  AI Research & Methodologies
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