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.
Fraud Networks: Our Answer to Detecting Fraudster Webs
This talk will be about understanding graph technology as a solution to detect transitive relationships between indicators of fraud, and help uncover new networks of fraudsters before they scale. We will talk about building an in house ecosystem that stores fraud events as graph data and emits gr...
Learn to Build a Scalable KG For 360 Degree Personalization of Customers
Personalization is the key to success for consumer product organizations. In this talk, you'll learn the insights and design patterns to build a scalable & polyglot Knowledge Graph to provide personalized experiences to end customer. It'd also cover the practical tips and architectural know how t...
Companies are increasingly using artificial intelligence (AI) applications for decision-making today. However, due to lack of context, AI systems have not yet achieved their full potential as reliable solutions for complex problems. Enter knowledge graphs - the modern way to capture relationships...
The IKEA Knowledge Graph includes information around complementary products, their benefits, as well as some safety precautions that customers should be aware of. This information is captured on a general level and allows to drive customer-facing recommendations in a very efficient manner. Also, ...
A global knowledge graph of people, skills and companies
Beamery is a funded startup based in London and the US, selling talent management software to enterprises, and is industry leading in the talent management sector. As a company, we have invested heavily in practical AI solutions underpinned by knowledge graph technology.
Applied Ontology for a Semantic Layer in Biopharmaceutical Manufacturing
As industries grapple with the need and various approaches to implementing Digital Transformation, a shift in thinking about data technology and data culture within organizations is required to realize its full potential. Knowledge graph technology presents an emerging approach to manage and inte...
The error is the message: Extracting Insights from Deceptive Data
Turning dross into gold. Knowledge graphs, with their capacity for surfacing vast hidden networks, can help detect looted art from the ownership history - or provenance - of artworks. The cultural heritage sector and art industry have explored named entity recognition with an event-based approach...