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Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs 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 the AI revolution. KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology. Conference – bridging the gap between research and industry We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news. KGC Vision and Values Our goal is to build the community and become a leading source of learning around knowledge graphs. We will achieve this by engaging and convening industry leaders and innovators, across sectors. We will focus on the diversity of perspectives: Industry diversity Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students Gender & Age diversity Geographical diversity We will gather, share and publish content to increase learning. We will build the community online and in-person through our content, meetups and conferences.

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How to get Started in Money Laundering?

KGC 2026 • 1h 43m

https://drive.google.com/file/d/1KJ1jts5EE0GAwJVIcI44SX1hF4SRBEG5/view?usp=share_link

Up Next in KGC 2026

33:02

The Data Delusion, and a Path to Comp...

The Data Delusion, and a Path to Comp...

https://drive.google.com/file/d/1sbw8uXzA-hR1hvBPzVAeUD-SK7gpAgwi/view?usp=share_link

For decades, the Life Sciences industry has operated under a "Data Delusion": the belief that if we simply aggregate enough "clean" data and apply it at scale, biology will become computable. Yet, despite massi...
29:09

IDMP Ontology in Action

IDMP Ontology in Action

https://www.dropbox.com/scl/fo/p5oi87h9800o35bhyua80/AHipulxYW0IQJrinOTB-Qy0?rlkey=x5fvfx8gsusubrqkx55h0obkp&e=5&st=nxa2ste2&dl=0

We intend to give the presentation on site. This is a shared proposal together with my colleague Dr. Fabian Muttach from Regulatory Affairs. ( https://www.linkedin.co...
1:27:34

Human Expertise, Agent Intelligence

Human Expertise, Agent Intelligence

The expertise your teams carry — domain rules, entity relationships, business logic — is exactly what AI agents need to make reliable decisions. A knowledge graph makes that expertise queryable: not document search, but a structured, traceable model that agents reason over directly. In this hands...