GraphNews

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

Excited for the next chapter! Vector completed its acquisition of MarkLogic and the baton is now in the hands of our new CEO Adrian Carr @ade_carr. Thank you to @GaryLBloom for your leadership over the past 8+ years. https://t.co/Z7AUQ4WcBa pic.twitter.com/CnEo6FZ8aU— MarkLogic (@MarkLogic) October 26, 2020

In this week's #twin4j, @mdavidallen teaches us all there is to know about super nodeshttps://t.co/VtYzHZNjvI#Neo4j pic.twitter.com/riYFmeHZmT— Neo4j (@neo4j) October 25, 2020

"Building #KnowledgeGraphs from Structured Sources".An explanation about the mapping approach (and languages) adopted to integrating heterogeneous data.My new article/tutorial for @TDataScience.#rml #jarql #tarql #r2rml #dataintegration #SemanticWebhttps://t.co/YwgIGupHr3 pic.twitter.com/qAyzzX3VMf— Giuseppe Futia (@giuseppe_futia) October 28, 2020

KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access / Pablo Rubén Fillottrani & C. Maria Keet 1/2 https://t.co/WBsNQmsIXJ pic.twitter.com/G6drmpmccN— Aaron Bradley (@aaranged) October 27, 2020

Created a #3D #MindMap of people who inspired Albert Einstein and who were inspired by Albert Einstein with a #SPARQL query from #WikiData. The #SPARQL query can be found at #github https://t.co/bJEBujXcFw, the live demo at https://t.co/5dgucBrn8y pic.twitter.com/wd7DoB6kjW— Ingo Straub (@inforapid) October 29, 2020

“Graph data science and graph analytics reveal the workings of intricate systems and networks at massive scale.”Download your free copy of Graph Data Science For Dummies: https://t.co/io3Hc7I37y#GraphDataScience #DataScience #ML pic.twitter.com/Bdyt7ChHqr— Neo4j (@neo4j) October 29, 2020

To quickly understand tabular data, EURECOM and Orange are developing the DAGOBAH semantic annotation platform.

Debrief from AstraZeneca’s Data Science and Artificial Intelligence

Great news everybody, there are no limitations regarding the usage of yEd Live anymore! It is free to use for everybody and even in commercial environments...

A knowledge graph captures the semantics of a particular domain using a set of definitions of concepts, their properties, relations between them, and logical constraints that are expected to hold. Knowledge graphs consolidate and integrate an organization’s information assets and make them more readily available to all members of the organization. There are many applications and use cases that are enabled by knowledge graphs. Information from disparate data sources can be linked and made accessible for to answer questions you may not even have thought of yet. Information and entities can be...

Company Achieves “Industry First” Results in New Graph Database Performance Benchmark

New website of oorlogsbronnen.nl about WWII in the Netherlands is launched today. Congratulations to Lizzy Jongma and her team with this impressive achievement...