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.
UBS Knowledge Graph: Building a Connected Data Catalog
UBS is building a new firm wide data platform that will empower every employee to harness AI, data and analytics to gain valuable insights for our clients. Knowledge Graph technology plays a key role key in this next generation data ecosystem by helping to better find, understand, trust and use r...
Finding the Next Million-Dollar Dataset: Data Sourcing Methods and Techniques
Sourcing valuable data has become a competitive advantage for many market-leading companies in the past several years. But finding that data and putting it to use efficiently and effectively is an opaque and complicated process with innumerable steps and gatekeepers. Jordan Hauer has been an expe...
In this presentation we will show how we are using curated information stored in the IKEA Knowledge Graph to generate valuable product data. The manual effort is done on a general level and is small in size compared to the generated product data. This approach proves that "a little semantics goes...
This presentation deals with the creation of a Knowledge Graph for an online leading news publisher in Germany. We used the technology behind Knowledge Graphs to semantically link tags and entities to articles, injecting content all over the website with context-rich information that could talk t...
In general, property graphs are very flexible since we can associate any number of properties with nodes and edges. To add more structure, nodes and/or edges are often typed (via a label). In that case, a labeled node (or edge) of a particular type is expected to have specific properties. This wo...