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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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Knowledge Graphs and ChatGPT: Talking to Data v1

May 11 | KGC 2023 • 21m

Sean Martin, Co-founder & CTO Cambridge Semantics Inc.

Up Next in May 11 | KGC 2023

28:43

Streaming Graphs, Because We Cannot A...

Streaming Graphs, Because We Cannot A...

Graphs help answer complex questions, but they have traditionally been far too slow to be used in high-volume streaming data applications. While graph _databases_ have served batch-processing use cases for decades, a new streaming architecture is showing profound results for modern high-volume da...
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Finding the Next Million-Dollar Datas...

Finding the Next Million-Dollar Datas...

Sourcing valuable data has become a competitive advantage for many market-leading companies in the past several years. But finding that data and putting it to use efficiently and effectively is an opaque and complicated process with innumerable steps and gatekeepers. Jordan Hauer has been an expe...
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Business Impact KGs and Visualisation...

Business Impact KGs and Visualisation...

Business impact datasets from supply chains are modelled on KGs with emphasis on rich relationship context. KGs vary in scale from millions to billions of entities and require parallel processing techniques for building, traversing, and computation and are built on an in memory horizontally scala...