Knowledge Graphs: The Who, What, Where, When, Why and How
Virtual (online event)This webinar is intended to help you understand knowledge graphs better, and to decide whether you should use this technology for your problem.
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 is intended to help you understand knowledge graphs better, and to decide whether you should use this technology for your problem.
A second virtual Meetup to discuss active knowledge graph projects that can be used in the fight against the coronavirus (COVID-19).
ECIR is the premier European forum for the presentation of new research results in the field of Information Retrieval. This event moved online.
A forum for discussion and debate about the evolution of the Web, the standardization of its associated technologies, and the impact of those technologies on society and culture. This event moved online.
Get conversant with “Linked Data for the Perplexed Librarian,” published by ALA Editions.
A panel of experts explores the challenges and opportunities for everyone involved in or affected by scholarly metadata.
The Knowledge Graph Cookbook authors will walk webinar participants through the book, explaining why knowledge graphs are important and why you should care about them.
This online Meetup will feature talks by Dr. Alexander Jarasch of the German Center for Diabetes Research, and Dr. Sören Auer of the Leibniz Information Centre for Science and Technology University Library, who will discuss the COVID-19 Knowledge Graph and technologies for open graphs about research knowledge.
Julien Grossmann of reKnowledge will share how knowledge graphs, natural language processing and a slick user interface can help mapping and gathering critical political and violent risks indicators and events related to the pandemic crisis.
This webinar will discuss how knowledge graphs and semantic models can be used for drug discovery and make the data landscape more FAIR.