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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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Masterclass: Using Dgraph to Explore the Offshore Leaks Database

49m

This masterclass will take participants through the analysis, loading, and querying of the Offshore Data Leaks dataset from the International Consortium of Investigative Journalists (ICIJ) into a single-node Dgraph cluster. The data set comprises over 2 million nodes and 3 million
relationships encompassing the Panama Papers, Pandora Papers, and others.
Participants will
● Analyze the Offshore Leaks raw data to understand its format and devise import strategies
● Import the data into a Dgraph cluster
use Dgraph to attempt to solve:
● An entity resolution problem
● Locating Offshore Leaks entities by geographic location
● Finding the shortest path between any two given Offshore Leaks entities
● and more...
Laptop Requirements
Participants will need a laptop with at least 8GB RAM and 4GB free disk space."