"As we’ve grown ... developing the API aggregation layer has become increasingly harder. In order to address this rising problem, we’ve developed a federated GraphQL platform to power the API layer." @tejas26 https://t.co/vgBdzNJa0v— Aaron Bradley (@aaranged) November 9, 2020

RDF vs. Property Graphs! hear @joshsh and @jansaasman of @Franzinc on @TheGraphShow episode #1https://t.co/yOaqdmNqWR#Ontology #GraphDatabases #Semantic #RDF #KnowledgeGraphs pic.twitter.com/NDBKxmrvJR— TheGraphShow (@TheGraphShow) November 2, 2020

"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

Enrich your content and take advantage of the #LOD Cloud! #DBpediaSpotlight returned with fantastic #updates and is now aligned with the #DBpediaDatabus. Check all details here: https://t.co/dpK7bhCZfZ #DBpedia #datamatters #Docker #API #demo pic.twitter.com/HguYOJ8mXu— DBpedia (@dbpedia) November 10, 2020

Wonderful presentation by @lesliemyint on how knowledge graphs can be used to understand complexity https://t.co/tS1n9HB6wn— Dan McCreary (@dmccreary) November 13, 2020

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

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

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

"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

"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

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

"KGPT: Knowledge-Grounded Pre-Trainingfor Data-to-Text Generation", using #Wikidata and #Wikipediapaper: https://t.co/3LHhssUdpcrepo: https://t.co/QQWSGw76id pic.twitter.com/09zFFLUFND— WikiResearch (@WikiResearch) October 12, 2020

this is huge 👇 Data Commons is available in Google's Knowledge Graph! Thanks @aaranged for sharing this! https://t.co/kVzX4MunaW— Andrea Volpini (@cyberandy) October 16, 2020

For this blog @taxobob explores modeling Euclid’s Elements Book I in RDF Using Graphite. #knowledgegraphs#ontologieshttps://t.co/PwtEOEpRWG pic.twitter.com/4LaMa47d0T— Synaptica LLC (@Synaptica) October 19, 2020

Great Ben Lorica (@bigdata) podcast interview with @kejriwal_mayank about knowledge graphs. I had waited years to hear Ben mention "RDF" on his podcast.The buzzphrase "knowledge graphs" has become a foot in many doors for this set of W3C standards!https://t.co/jkBg5w7Pxj— Bob DuCharme (@bobdc) October 17, 2020

Our #EMNLP2020 paper introduces MHGRN, a multi-hop #GraphNeuralNetworks model that can answer complex questions via relational reasoning over #KnowledgeGraphs. Kudos to our excellent summer interns, Yanlin and Xinyue. @xiangrenNLP @nlp_usc Paper: https://t.co/8KzsbrL0pw [1/3] pic.twitter.com/x1oi4tQwRK— Yuchen Lin (@billyuchenlin) October 20, 2020

Guess which one might be the geometric space of choice for geometric representation learning with graphs? Keynote by Maximilian Nickel at #cssa2020 @cikm2020 https://t.co/EL3FgSRnpw pic.twitter.com/1PmlzkKZhD— Harald Sack (@lysander07) October 20, 2020

Can JSON Schema can be used to define and validate JSON-LD? "think the answer is a qualified 'yes', says @philbarker. "Here’s a proof of concept; do me a favour and let me know if you think it is wrong." https://t.co/pnGD4UQYFd— Aaron Bradley (@aaranged) October 20, 2020

How Does AI Understand Graphs?time is technically a graphhttps://t.co/iRlwXdV0g1#ai #graphtheory #graphdatabases #timeseries pic.twitter.com/ByNmkqC3DW— Graph Day (@GraphDay) October 19, 2020

Intel and Katana Graph Team on Large-scale Graph Analyticshttps://t.co/W1C6jqsZk4@KatanaGraph #graphanalytics #analytics #graphdatabase pic.twitter.com/cazSPRV60c— Graph Day (@GraphDay) October 19, 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