Getting Started with Taxonomy
Virtual (online event)This webinar will provide an introduction to taxonomy, including what it is and how it is used to support the creation and delivery of content.
Conferences and other events about knowledge graphs, linked data and related topics
While every effort has been made to keep these listings current, in light of the COVID-19 pandemic always check the linked event site for the most up-to-date information concerning that event.
This webinar will provide an introduction to taxonomy, including what it is and how it is used to support the creation and delivery of content.
This Connected Data London Meetup will look at how Knowledge Graphs are redefining digital transformation and powering AI in the enterprise and beyond.
Jason Barnard will show you just how much geo-location changes the information Google presents about a brand in knowledge panels.
In this webinar participants will learn how to build a well-structured content model that makes it easy to repackage and repurpose content across any channel.
Synaptica's Bob Kasenchak and Ahren Lehnert will discuss controlled vocabulary use cases and what knowledge model is suited for each.
A two-day webinar comprising tutorials and presentations on the use of ontologies in animal science research.
Phill Jones will discuss the development and application of knowledge graphs and how they are helping knowledge and information professionals to solve real business problems.
Kristen Monahan of the Public Library of Science (PLOS) will talk about how she uses the PLOS taxonomy to drill down into the massive amount of content, metadata, and usage and process data that is PLOS for deep, detailed analysis and to drive business decisions.
Paul Nelson of Accenture discusses the role of knowledge graphs, knowledge sharing and linkages in improving knowledge management for the enterprise.
In this webinar, Jarred McGinnis and Atanas Kiryakov present Ontotext’s upcoming white paper: Knowledge Graphs for Enterprise Data Management. They will cover the principles and implementation of knowledge graphs and will provide examples from different industries of how knowledge graphs bring value through cost savings, new revenue opportunities and a sustainable AI strategy.