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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
Antonin Delpeuch | Scaling & Maintaining OpenRefine
OpenRefine is a data wrangling tool which celebrated its 10th birthday this year. Cleaning and importing data in knowledge graphs is its core use case, since it was originally designed to help populate Freebase. In this talk I want to give a broad overview of the latest developments in the tool and our efforts to consolidate it as a mature open source project. Please come along and tell us where you would like to see the tool in a few years!
Antonin Delpeuch provides information about OpenRefine where he helped develop the open-source project to what it is today and how much it takes scaling & maintaining OpenRefine with the team from W3. In this video he talks about the features of OpenRefine which is an open source data cleaning tool that is very accessible. Some of the features he talks about from the OpenRefine project is reconciliation and the scalability. He talks briefly about the history of the tool and how it was originally created for knowledge graphs and he mention the growth of the original project to become what it is today. #knowledgegraphs #knowledgegraphconference #knowledgegraphtools