We have some exciting news to share with you!
KGC 2020 Early Registration Is Open
Early bird tickets are available until Feb 15.
We are thrilled to announce
KGC 2020 Workshops & Tutorials
Personal Health Knowledge Graphs (PHKG) – Challenges and Opportunities
Organizers: Ching-Hua Chen, PhD, Amar Das, MD PhD, Ying Ding, PhD, Deborah McGuinness, PhD, Oshani Seneviratne, PhD, and Mohammed J Zaki, PhD
Virtualized Knowledge Graphs for Enterprise Applications
Presenter: Eric Little, PhD (LeapAnalysis)
Data Discovery on a Free Hybrid BI / Search / Knowledge Graph Platform – the Siren Community Edition
Presenter: Giovanni Tummarello, PhD
Designing and Building Enterprise Knowledge Graphs from Relational Databases
Presenter: Juan Sequeda (Data World)
Rapid Knowledge Graph Development with GraphQL and RDF Databases
Presenter: Vassil Momtchev (Ontotext)
Introduction to Logic Knowledge Graphs, Succinct Data Structures and Delta Encoding for Modern Databases, and the Web Object Query Language
Presenters: Dr. Gavin Mendel-Gleason and Cheukting Ho (DataChemist)
For more information about our workshops and tutorials, please visit our Workshops & Tutorials page.
We are still accepting
KGC 2020 presentations are 20-min talks where you can share all topics related to knowledge graph technology: implementations, case-studies, software, representation formalisms, schemas and ontologies, data integration, and more.
Deadline Feb 28, 2020
And we are offering
If you’d like to be involved in KGC 2020 as a volunteer Lead Organizer to plan and execute a top-notch conference (aka, KGC 2020), please let us know.
Talk on Analyzing Knowledge Graph Base
By Marta V. Lopata (Thinknum & Kgbase)
Mon, Feb 10, 2020, 7 – 8 PM
What’s happening in our community?
Google Dataset Search is officially out of beta.
How well can computers connect symptoms to diseases? A new MIT study explore the benefits and limitations of health knowledge graphs.
Researchers create novel platform to standardize paleoclimatology using a linked earth knowledge graph at the University of Southern California.
Ideas and Insights
Knowledge Graphs for Financial Services – Deloitte’s latest white paper illustrates the path to unlock new insights from data.
Knowledge graph evolution: Platforms that speak your language –Surprise or not. Knowledge graphs are among the most important technologies for the 2020s.
Knowledge Graphs and Causality – Symbolic AI was one of the first branches of artificial intelligence attempting to explicitly represent human knowledge in a declarative form using symbols and rules.
The Multi-Model Knowledge Graph – A latest piece from Arthur Keen, one of our KGC 2019 speakers, on how the multi-model’s data representation will address the challenges of enterprise knowledge graphs.
Last but not least
That’s all for now from us.
KGC Organizing Team