My favourite topic. Text. https://t.co/dbmOvvg7vk— Teodora Petkova (@TheodoraPetkova) November 13, 2020

Did some SPARQL tests with @binteractions Quadstore (powered by @comunicajs and @rdfjs) and the client-side browser instance provided by @txreto.Conclusion: 100% client side RDF & SPARQL is ready, at least for lightweight use-cases!Great validation for our RDF JS Efforts! pic.twitter.com/R7QFXtKWr1— Adrian Gschwend (@linkedktk) November 13, 2020

SPARQL update that splits the default graph into named graphs by subjecthttps://t.co/LKsgs1QM0t— Martynas Jusevičius (@namedgraph) November 12, 2020

Announcing a new and great integration tool that moves and reshapes data bi-directionally between Neo4j and Apach Spark.

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

I wrote about how we're using knowledge graphs and machine learning to connect together heritage collections @sciencemuseum @nat_collection : https://t.co/HfHFeBP8sg pic.twitter.com/WfdOyAPCWl— kalyan (@KDutia) November 11, 2020

This is the entire @DBpedia Ontology visualised as a radial dendogram. Check it out at https://t.co/dalZvvQgQj and make sure you enable full screen through the action menu. pic.twitter.com/6y3qVSTop8— Tommaso Soru 🇪🇺 (@mommi84) November 13, 2020

Client-side Linked Data tooling is ready for primetime. Proud to see the shared RDF/JS efforts pay off! https://t.co/OjOLpLNppe— Ruben Verborgh (@RubenVerborgh) November 13, 2020

In its recently published Magic Quadrant for Metadata Management Solutions, Gartner has positioned the Semantic Web Company (SWC) and PoolParty as a Visionary...

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How EKGs and Systems Thinking is making the world better

Commentary: There's scale, and then there's China scale. Learn about how real estate giant KE Holdings scales its graph database.

"pSPARQL: A Querying Language for Probabilistic RDF Data""extended SPARQL to support querying over probabilistic RDF. In the future, we will discuss some foundational properties of #pSPARQL and implement it in a prototype to provide the full SPARQL"#probability #RDF #SPARQL pic.twitter.com/rpF94iouDF— Nick Vintila (@semanticbeeng) February 23, 2020

LIquid: The soul of a new graph database, Part 2 https://t.co/gXHEirwP6m via @LinkedInEng— Cambridge Semantics (@CamSemantics) October 2, 2020

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

"we propose a language model based ontology embedding ... which encodes the semantics of an ontology by taking into account its graph structure, lexical information and logic constructors" > OWL2Vec*: Embedding of OWL Ontologies @chenjiaoyan1 et al. https://t.co/jrsGUlJVAT pic.twitter.com/3VfkVfgsWj— Aaron Bradley (@aaranged) October 5, 2020

RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion https://t.co/ss6DWMI1HG pic.twitter.com/W82gImk6LZ— Aaron Bradley (@aaranged) October 5, 2020

Have you ever wondered if you can view your @awscloud resources as a graph? Stop wondering. @bechbd shows us how with @apachetinkerpop or #SPARQL. Awesome job!https://t.co/yCf9Kb6koU https://t.co/9N62fvexAn pic.twitter.com/Xaeki5afKY— Brad Bebee (@b2ebs) October 5, 2020

Excel is getting more powerful for Microsoft 365 subscribers.

"Enterprise data fabrics offer the new way forward. The data fabric weaves together data from internal silos and external sources and creates a network of information to power your business’ applications, AI, and analytics" Karen Megarbane @StardogHQ https://t.co/deGC7jWZmj— Aaron Bradley (@aaranged) October 14, 2020

My new article for @TDataScience - Knowledge Graphs at a glance: incorporate human knowledge into intelligent systems, exploiting a semantic graph perspective https://t.co/t57sMJ0Maq #knowledgegraphs #semantics #semanticweb #ontologies #rdf pic.twitter.com/YXD5BpESMj— Giuseppe Futia (@giuseppe_futia) September 28, 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

Using a #Schema.org-First approach to build a single source of truth and a unified Content Management System @jrockowitz https://t.co/piGvnxzCZG— Aaron Bradley (@aaranged) October 14, 2020

"... the People You May Know tab has evolved to show people, hashtag, company, group, newsletter, and event recommendations. When members act on these recommendations, they are adding edges to the graph that constitutes their social network." https://t.co/1GwoAvZdsY— Aaron Bradley (@aaranged) 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

Exploiting Knowledge Graphs for Facilitating Product/Service Discovery https://t.co/vle2UYSWSh pic.twitter.com/4hRV5htjmt— Aaron Bradley (@aaranged) October 14, 2020

Ultimately we can probably blame Forrester (don't @ me if I'm wrong about the provenance - I don't care that much:). But their definition is quite useful because, like Stardog's, it's specifically about the liberation of data from silos. https://t.co/Gpl8pcJVyc pic.twitter.com/3lDYHnVgRx— Aaron Bradley (@aaranged) October 14, 2020

COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs https://t.co/2qUreVrazx pic.twitter.com/5K1rMPulth— Aaron Bradley (@aaranged) October 14, 2020