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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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The State of the Art Large Language Models for KG Construction from Text

KGC 2025 • 2h 47m

Up Next in KGC 2025

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The Ultimate Guide to Knowledge-Based AI

The Ultimate Guide to Knowledge-Based AI

Valerio Cocchi, Oxford Semantic Technologies, Lead Knowledge Engineer

Knowledge-based AI has been launched into the mainstream as it serves as the antidote to LLM hallucinations in RAG systems—an increasingly visible feature but just one of many critical applications in which Knowledge-based AI ...
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AI-Assisted Knowledge Graph Extractio...

AI-Assisted Knowledge Graph Extractio...

Dean Allemang, data.world, principal solution architect

Knowledge Graphs are integral components in enterprise data management and foundational elements of reliable AI-based systems. But the question remains - how do we construct a knowledge base and populate it with our information?

For sever...
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Choosing an Ontology

Choosing an Ontology

Pete Rivett, Federated Knowledge, Ontologist
Ora Lassila, Amazon Web Services, Principal Technologist
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In today's AI and data-driven business landscape, “ontologies” serve as crucial tools for organizing and sharing knowledge across organiz...