Knowledge Graphs to Fight COVID-19 – Part II
Virtual (online event)A second virtual Meetup to discuss active knowledge graph projects that can be used in the fight against the coronavirus (COVID-19).
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.
A second virtual Meetup to discuss active knowledge graph projects that can be used in the fight against the coronavirus (COVID-19).
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 Meetup will provide a semi-advanced walk-through of how semantic search works, ending with a few example cases.
This virtual Meetup will cover JavaScript-related topics that include TypeScript, GraphQL, state-driven application design and data visualization.
In this webinar speaker Emeka Okoye will provide an overview of knowledge representation and reasoning with semantic web technologies.
This Meetup will introduce Eclipse RDF4J in detail and give examples on how it can be used effectively to build applications and new data services.
This tutorial will present state-of-the-art rule induction methods for knowledge graph completion.
At this virtual Meetup a panel of industry experts will discuss use cases, evolution and maturity of knowledge graphs in the enterprise, in addition to key trends and innovations in this space.
This presentation will look at recently implemented SHACL-based capabilities using the TopBraid platform as an example.