Date(s) - 02/05/2022 - 06/05/2022
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The Knowledge Graph Conference was founded at Columbia University in 2019 through a collaboration between Francois Scharffe, a faculty in Applied Analytics, and Thomas Deely, Executive Director for Industry Partnerships.
Thomas was looking to create a new type of educational experience focussed on real world applications and peer connections, and reached out to Francois, who shared the idea to take knowledge graphs out of academia.
Thomas secured a budget & collaboratively worked with Francois to curate and orchestrate the experience, strategy, and partnerships with speakers and sponsors and make the first conference in 2019 an outstanding success.
Francois Scharffe has been working in the field of knowledge graphs (KG) for over 20 years to date. He started working on the knowledge graph of the French dictionary in 2002. Throughout that time he has seen the evolution of the KG from an academic field, with a number of different names used to describe it, such as, “semantic web” and “linked data”. Over the years, he had seen an increase in industry adoption.
During the attendance of the International Semantic Web Conference (ISWC) in Monterey, California, the idea came to take knowledge graphs out of academia. He had seen that KGs had become mature and used in industry as a major technology component of robust data infrastructure. Loving the topic of knowledge graphs, he wanted to support it by building a community.
Thomas has a deep background in applied and emerging tech, a passion for building and developing communities and expertise in building executive partnerships.
The Knowledge Graph Conference is the direct result of their backgrounds and efforts over the last few years.
The Knowledge Graph Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by advances in AI.
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