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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:
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.
Live stream preview
Masterclass: Taxonomy-Driven Ontology Design
Taxonomies should not be looked at merely as the extension of ontologies downward into subclasses and individuals; taxonomies can also serve as a source of creating ontologies upward. Ontologies are best designed with a combination of top-down and bottom-up approaches. Top-down involves designating classes and then relations, based on such sources as stakeholder interviews, brainstorming workshops, and use case development, along with a survey of existing data/content management systems to identify their information organization schemes and metadata properties. Bottom-up methods help to identify all the ontology properties, both relations and attributes, which would involve examining metadata properties and elements and examining existing taxonomies, The inclusion of existing taxonomies can help define the ontology scope, and relations between classes can more easily be defined with existing concepts in each concept scheme/class. The ontology is then based on actual entities and is based less on hypothetical uses. Increasingly, organizations already have existing taxonomies, which should be leveraged rather than duplicated or replaced.