In the last few years, LLMs (Large Language Models) and related technologies have vastly extended the capabilities of computers to work with natural language. But even though they are often treated as question answering machines, they have found it challenging to remain faithful to facts.
KGs (Knowledge Graphs) have become a new core component in many organisations, enriching their capabilities to fuse data together and to answer questions. But KGs often come with limitations on their expressivity and a rigidity in their schema.
In this talk we will offer introductions to both of these technologies, and discuss how we can use the novel capabilities of large language models to extend the expressivity of the knowledge representation used in knowledge graphs, thus complementing both technologies.
Who is this webinar for?
Anyone who is interested in data, AI, LLMs and KGs.
Level of difficulty
For everyone, it's an opportunity to hear from a renowned expert and learn about LLMs and KGs.
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Speakers
Denny Vrandečić, Head of Special Projects, Wikimedia Foundation
Denny Vrandečić is Head of Special Projects at the Wikimedia Foundation, where he leads the work on Abstract Wikipedia and Wikifunctions. He is the founder of Wikidata. Previously, he co-founded Semantic MediaWiki, used in many organizations such as NASA, the US intelligence agencies, the Metropolitan Museum of Art, and others. He received a PhD from KIT and was a visiting researcher at USC's ISI and the Laboratory of Applied Ontologies at the CNR in Rome. He was the founder of the Croatian Wikipedia, and was an elected member of the Wikimedia Foundation Board of Trustees. He worked on the Google Knowledge Graph from 2013 to 2019. He now lives in Stuttgart, Germany.
Elena Simperl, Director of Research, ODI
Elena Simperl is the ODI’s Director of Research and a Professor of Computer Science at King’s College London. She is also a Fellow of the British Computer Society, a Fellow of the Royal Society of Arts, a senior member of the Society for the Study of AI and Simulation of Behaviour, and a Hans Fischer Senior Fellow.
Elena’s research is in human-centric AI, exploring socio-technical questions around the management, use, and governance of data in AI applications. According to AMiner, she is in the top 100 most influential scholars in knowledge engineering of the last decade. She also features in the Women in AI 2000 ranking.
In her 15-year career, she has led 14 national and international research projects, contributing to another 26. She leads the ODI’s programme of research on data-centric AI, which studies and designs the socio-technical data infrastructure of AI models and applications. Elena chaired several conferences in artificial intelligence, social computing, and data innovation. She is the president of the Semantic Web Science Association.
Elena is passionate about ensuring that AI technologies and applications allow everyone to take advantage of their opportunities, whether that is by making AI more participatory by design, investing in novel AI literacy interventions, or paying more attention to the stewardship and governance of data in AI.
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