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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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Masterclass: Converting Legacy Enterprise Data into KGs with AI and JSON-LD

1h 30m

Most large enterprises struggle to adopt knowledge graphs and semantic models given years of investments in legacy mainframe, relational database and data warehousing technologies. Because legacy data has been created and retained in source application schemas with zero semantic structure, the cost and complexity to convert to a universal-semantic data model is prohibitive, often hindering knowledge graph projects. How do you untrap 20+ years and petabytes of data and activate it to leverage the benefits of semantics and Knowledge Graphs?

Join us in this working session where we will walk through (1) advances in data formats, such as JSON Linked Data (JSON-LD), that make conversion of flat, relational data into serialized RDF viable at scale; and (2) advances in machine learning and AI in data classification to automate the linking of semantics to flat, structured data. By the end of this session, we will have walked through a scenario using commercial tools available in the marketplace today to integrate legacy data from multiple traditional data stores into a Knowledge Graph, as well as discuss practical considerations for how to adopt in your organization.