Skip to main content

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.

Live stream preview

Close Open

Taxonomy Design Best Practices

1h 36m

"https://drive.google.com/file/d/1x8vYa4d8CmunWXKRcCX1Exm6SczzRUe9/view?usp=share_link

Ontologies form the semantic framework for knowledge graphs, but to serve the purpose of connecting to content and standardizing metadata, ontologies need to be based on taxonomies and other controlled vocabularies, whose concepts are tagged to content in addition to being linked to data. There has also been a trend of greater integration of taxonomies and ontologies: ontologies are being adopted for wider business use, and taxonomies have been included in the W3C standards with widespread adoption of SKOS (Simple Knowledge Organization System).

While taxonomies are easier to design and create than ontologies, too often they are created without any skill or training, and poorly designed taxonomies yield poor results. This tutorial will cover the basics and best practices in taxonomy design, including: taxonomy and ontology uses, purposes, approaches, standards, and comparisons; sources for taxonomy concepts; wording of concept labels; best practices for hierarchical relationships, and the use of AI in developing taxonomis.

There will be exercises in creating concept labels and relationships, and practice with taxonomy management software."