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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: Industry diversity Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students Gender & Age diversity Geographical 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.

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Semantic Recommendation Engines Case Studies

26m

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 same ease of content and information discovery. They are turning to semantic recommendation engines to solve these business challenges. How do you get started in designing and implementing an enterprise content recommendation engine to connect people with relevant content at the time of need? How do you define a knowledge graph that will effectively connect people to the right experts ? Do you take a deterministic or statistical approach with your semantic foundation? Nash and Duane have led numerous recommendation engine implementations, including with organizations in the healthcare, finance, and government sectors. During this presentation, they will share case studies, lessons learned, and success stories of enterprise semantic recommendation engines, a clear approach for establishing a recommender, and best practices to drive a successful implementation.