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.
Headless content and knowledge graphs: parallels and divergences
There’s been growing discussion recently concerning “content graphs” that utilize graph relationships to manage content for online publication. Some have observed the similarities between knowledge graphs and headless content management and have sought to combine these approaches. Yet how compati...
Machine-mediated interactions on the Web call for different approaches towards marketing communication and its artifacts: content and data objects. Linked Data and Content Now! is about the potential and real use of schema.org for marketing communication on the Web. In this talk you will learn ho...
We started our Knowledge Graph journey with a content knowledge graph that helps us unify and connect various media types for our multi-purpose streaming platform (RTL+). We include media, entities & enriched metadata from Movies, Series, Music, Podcasts and Audiobooks. But we soon realised that ...
This talk will look at Knowledge Graphs in publishing and broadcast media. Where have things moved on since pioneering projects using Linked Data? Have knowledge graphs significantly changed the landscape? We explore the topic through a set of case studies looking at how knowledge graphs are chan...
Exploring the Power of Content KGs: Unlocking the Potential of Structured Data
Exploring the Power of Content Knowledge Graphs will explore the potential of using structured data to improve the way we organize and access information. The talk will introduce the concept of knowledge graphs and discuss their potential benefits for both content creators and consumers. It will ...
Enhancing LLM Generative Capabilities through Knowledge Graph Integration
The talk focuses on the use of large language models (LLMs) for generative AI, and how incorporating symbolic knowledge (attributes from a knowledge graph of an eCommerce website) can improve the accuracy and usefulness of generated content.
Presented by: Sara Duane & Sara Nash
Content personalization and recommendation engines are pervasive in today’s society. They power some of our most used platforms–including Amazon, Spotify, Netflix, and more. However, many organizations struggle to provide their employees and customers with the...