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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
Trey Botard | Bringing Time & Truth To Semantic Data
Semantic systems provide tremendous opportunities to interoperate our data, facilitate shared vocabularies, and power enterprise knowledge graphs, but these increasingly distributed data ecosystems also introduce new instabilities and concerns. What happens when data we rely on is changing in unexpected ways; how do we build trust around open-access data sources; what happens if a dataset suffers a catastrophic update that disrupts the entire data system it participates in?
For data to participate in increasingly expansive and accessible semantic networks, it needs to be empowered with additional traceability, security, and trust. In this presentation, Trey will show how Fluree's platform works to do just that, by building its semantic graph database on top of an immutable ledger backplane that introduces a sense of truth and time to semantic data. This talk will look at how queries drastically improve when they become temporal; how a ledger backplane introduces time-traveling data; and how trust in data expands when data can reproduce its own lineage or prove the identity of the individual or machine who transacted it. The goal of the talk is to demonstrate that additional security and trust is not only a prerequisite for more expansive & interoperable data, but also a guarantee of richer, more powerful data that extends the reach of semantics into the fourth dimension.