GraphNews

"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

"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

Nice article by @oralassila: https://t.co/s5FVQer2ka— Learning SPARQL (@LearningSPARQL) October 13, 2020

For this blog Bob Kasenchak explores using our software, Synaptica's Graphite to Model Euclid’s Elements Book I in RDF

A Graph Representation of Semi-structured Data for Web Question Answering - "a novel graph representation of Web tables and lists based on a systematic categorization of the components in semi-structured data as well as their relations" https://t.co/wudiZu2pH0 pic.twitter.com/U3sz5qHlRz— Aaron Bradley (@aaranged) October 15, 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

Got a beef with you @aarontay: through one of your tweets I've discovered the existence of Ashleigh Faith's "IsA DataThing" YouTube channel on information architecture & semantics, and now I need to watch 31 videos :) https://t.co/Z3IcOlSdoS pic.twitter.com/wExS2xKLAi— Aaron Bradley (@aaranged) 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

Our mission of bringing order to chaos of distributed and unstructured data continue! In this blog, @VlastaKus shows how to convert text into a meaningful knowledge graph by extracting entities and relationships automatically from text. https://t.co/LwcHk7G2vK— Alessandro Negro (@AlessandroNegro) October 21, 2020

Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph @emmagerritse @fhasibi @arjenpdevries https://t.co/ELFJc17XLv pic.twitter.com/bexlxYBu6D— Aaron Bradley (@aaranged) October 21, 2020

Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training @agarwal_oshin et al. https://t.co/pwU6F1vHmr pic.twitter.com/6Nqy6RiU4h— Aaron Bradley (@aaranged) October 27, 2020

Check out the new issue of https://t.co/UWeN9c7tgC. Content focused on #BigData #Covid19 #datagovernance #EDM #knowledgegraphs more. Great authors this month - @georgefirican Polikoff of @TopQuadrant @DGPROS Mecca @thinkdataworks @craigmullins @RSeiner.https://t.co/UWeN9c7tgC pic.twitter.com/DbZVQbmJGH— Robert S. Seiner (@RSeiner) October 22, 2020

Can’t wait to get my copies as well. This has been a long time in the works so glad it’s finally come to fruition. https://t.co/kput7PAJg1 https://t.co/yqMFwmjD92— Dave Bechberger (@bechbd) October 27, 2020

Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?https://t.co/ilcnQQcIhYby Manas Gaur et al.#KnowledgeGraph #DeepLearning— arXiv Daily (@arXiv_Daily) October 26, 2020