We've made it even easier (and fun!) to explore the relationships between the millions of CC-licensed content sprawled across the web.

Ontotext and Synaptica join Forces with a Shared Product Roadmap to Speed up the Development of Enterprise Knowledge Graphs.

Upcoming at @emnlp2020:@danaikoutra and @tararootcake present CoDEx, a set of knowledge graph completion datasets extracted from @wikidata and @Wikipedia that improve upon existing knowledge graph completion benchmarks inscope & difficulty.https://t.co/YrZA4ac5GR— MichiganAI (@michigan_AI) November 13, 2020

Here's my first blog post for Amazon Neptune which discusses the new features it supports with its recent inclusion of @apachetinkerpop 3.4.8. #graphdb https://t.co/ImzR2rFIfX pic.twitter.com/EeHOR5k2xF— stephen mallette (@spmallette) November 18, 2020

I say for some years that graph scaling is solved by throwing enough hardware at it and I'm VERY excited to hear we might even get dedicated "graph" hardware for it in the future! Great explanation! https://t.co/6XoAI3VOD2— Adrian Gschwend (@linkedktk) November 23, 2020

And you gotta love the name "SPARQLBurger" https://t.co/v9kzqgNICY— Learning SPARQL (@LearningSPARQL) November 27, 2020

I love how these tweets link to the actual interactive image. https://t.co/9j9wxq7Hss— Learning SPARQL (@LearningSPARQL) November 26, 2020

'The State of Graph Databases in 2020' Tweet Chat https://t.co/vsZ7svIM5Y— Cambridge Semantics (@CamSemantics) November 29, 2020

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Linking that data.

I've fallen a bit behind on my newsletters of late, as I've taken over the helm of Data Science Central and have been focusing most of my efforts there. The following is an article that I've had in mind to write for a while, the first in what I hope to be a series on graph visualization techniques.

For the last few years, I have been promoting the idea of the Hardware Graph. My assertion was that graph hardware needs a focus on simple…

The more we advance in machine learning (ML) and artificial intelligence (AI), the more we realize how exquisitely complex human intelligence is.

K8ssandra, Apache Cassandra on Kubernetes

Solutions Review has compiled this list of the best graph databases to consider based on real user reviews and product roadmaps.

Best Paper Award KEOD 2020... 13 comments on LinkedIn

Stardog launches the industry's first cloud-native Enterprise Knowledge Graph Platform.

My trip report for the 2020 International Semantic Web Conference #iswc2020 Takeaways: - Realization that we need to understand users! - Are we educating...

In this Dialogue, Alan Morrison is a steadfast guide into the world of the data-centric future. Enjoy Alan’s bits and pieces of several big pictures: the one of the enterprise, the one of the semantic technology landscape and the one of language and communication.

Great explanation of #LinkedData and #SPARQL with Buckets and Ballsby @kvistgaard https://t.co/wBPZWgNmUG pic.twitter.com/QOEA5BG7di— Elena Makurochkina (@elenamdata) October 26, 2020

Just published by @WikimediaIL :https://t.co/JadkTTL6cJCould this be the best #SPARQL / @wikidata query tutorial ever? pic.twitter.com/yeyRum76ix— WikiCite (@Wikicite) October 21, 2020

Link Prediction in #KnowledgeGraphs with an Explainable AI approach that supports newly emerging entitiesPresented this week at #ISWC2020 Joint work w/ @kingsaintrb Code: https://t.co/OzjaefFFoLPaper:https://t.co/4saczQ0slx pic.twitter.com/BnY03YtYTc— Gerard de Melo (@gdm3000) November 4, 2020

Part 1 : Encoding KG Aliases in Attentive Neural Network for Entity Linking (ARJUN)

"Inrupt ... has launched its first enterprise-ready Solid servers for use by more than a dozen partners, including the NHS, the BBC and NatWest Bank." https://t.co/HcW0uWJjUZ— Aaron Bradley (@aaranged) November 10, 2020

On one hand we have a really great technology, that may solve numerous issues in the #data industry, but how does it become attractive for the #enterprise? #KnowledgeGraphs #GraphDatabase https://t.co/GadQV0IJUj pic.twitter.com/r5D3MrY1Lf— Carbon LDP (@CarbonLDP) November 12, 2020

How EKGs and Systems Thinking is making the world better

Here's a brand new fast and lightweight streaming Microdata to RDF parser for JavaScript: https://t.co/67u0DhEOlB It's fully compliant to the latest Microdata to RDF editor's draft: https://t.co/KpkGySDuM4#RDF #Microdata #JavaScript \cc @danbri— Ruben Taelman (@rubensworks) October 2, 2020

"Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases"(Sheng Bi et al, 2020)https://t.co/grrc8NTQFD pic.twitter.com/PcAlK4xXdF— WikiResearch (@WikiResearch) October 14, 2020

A Practical Guide to Graph Neural Networks - "How do graph neural networks work, and where can they be applied?" @isolabs0 etc. https://t.co/ycliXMBVNz pic.twitter.com/50mxDB6HQQ— Aaron Bradley (@aaranged) October 14, 2020