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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:
Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students
Gender & Age 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.
Live stream preview
Masterclass: A Beginner’s Guide to Reasoning
Reasoning has become an increasingly valued tool in the semantic web space, and yet to many it’s still a black box solution. Perhaps more tragically, despite the explosion of its development in recent years, many in the space still perceive it as a slow, cumbersome, and ultimately impractical technology, which is far from true today. Whether you’re looking to harness reasoning for your own goals, or to peek behind the curtains of someone else’s solution, now is your time to learn. Get hands on with a reasoning engine in this interactive walkthrough: A Beginner’s Guide to Reasoning. You’ll come away understanding the power of reasoning, what it can add to your data, and the fundamentals of how to apply it yourself. With technology in this space running away, there’s never been a better time to learn!
This tutorial will touch on the basics of SPARQL, OWL, and Datalog, before diving into reasoning at a technical level. Each participant will come away having built a reasoning solution for themselves, guided along the way by knowledge engineers and subject experts. No prior knowledge is required.