GraphNews

I just published the latest version of Practical Gremlin in all supported formats. Another substantial update. Please see the change history for full details. https://t.co/UNJzfsUg3s … … https://t.co/mXGaOEe3q6 … … https://t.co/7YtyD2xQuR … … @apachetinkerpop @JanusGraph pic.twitter.com/EcokGbuwMN— Kelvin Lawrence (@gfxman) May 29, 2018

I’ve been saying this to paying customers for a couple years and now DataStax is just giving it away. Next thing you know everyone will have a nicely partitioned, massively scalable graph. And then what will have but loads of potential business value being realized. https://t.co/tJs4bUnfTD— GraphCurmudgeon (@GraphCurmudgeon) June 17, 2018

At long last! With this, we aim to bridge the gap between semantic web and graph database communities. Happy graph-querying! https://t.co/8al1uLi1aC— Harsh Thakkar (@Harsh9t) August 17, 2018

Presentation slides for my #iswc_conf blue sky ideas track paper "Make #Embeddings Semantic Again!", including my tongue-in-cheek depiction of the #semanticweb #layercake as of 2018: https://t.co/HC1gIA2Sqz pic.twitter.com/GpR68z5NFs— Heiko Paulheim (@heikopaulheim) October 15, 2018

Using @neo4j to analyse the madness that is Javascript package dependencies for my upcoming @ACCUConf talk. This is the dependency graph for what `create-react-app` spits out. Seems 4K isn’t enough to get it all in view at once :S pic.twitter.com/MPjmN7yKx4— I, Dom Davis (@idomdavis) April 3, 2018

The work from @SDA_Research member @Harsh9t and @dharmenpunjani on converting SPARQL queries to Gremlin path traversals has been integrated into the popular Apache Tinkerpop framework (master branch): https://t.co/XEctJ6Q6A5 - you can now run #sparql queries in @apachetinkerpop!— Jens Lehmann (@JLehmann82) August 17, 2018

Satya is excited about Microsoft's Cosmos DB momentum (>$100m in annualized revenue), given that it launched last year. 'I mean, I've been around databases for a long time and I've never seen a product that's gotten to this kind of scale this quickly,' he said— Jordan Novet (@jordannovet) April 26, 2018

I usually mention both as unique/key features of RDF: global identifiers and zero-cost merge— Martynas Jusevicius (@namedgraph) June 8, 2018

In this week's #twin4j @amyhodler interviews Alastair Green, @boggle, and @aethelraed about the GQL proposal that was published last week.https://t.co/HWlcwFIEwE#neo4j pic.twitter.com/xYwPXZcC55— Neo4j (@neo4j) May 27, 2018

New book: "Querying Graphs" by Angela Bonifati (@ang3ela), George Fletcher (@georgehiroshi), Hannes Voigt, and Nikolay Yakovets (@nikk186)https://t.co/VufBTdGdG3— Olaf Hartig (@olafhartig) October 2, 2018

Happening in March next year: the @w3c Workshop on Web Standardization for Graph Data.Mark your calendars and express your interest in participating!https://t.co/HbDEO3dxM4 https://t.co/PELY1dVkyT— Olaf Hartig (@olafhartig) October 15, 2018

Graph Neural Networks / Relational Networks are models worth studying. We wrote a pretty comprehensive review about them which I hope you will find helpful (code forthcoming!). https://t.co/D46XCkUIeb pic.twitter.com/Shw0FOhdIh— Oriol Vinyals (@OriolVinyalsML) June 12, 2018

JanusGraph 0.3.0 is released! Congrats to the 27 contributors who made the release possible. https://t.co/za3cH9pG6a @JanusGraph @linuxfoundation #TinkerPop #graphdb pic.twitter.com/5SxDMNXRsg— Jason Plurad (@pluradj) August 7, 2018

Why companies are turning to Graph? Jonathan Lacefiled from @DataStax gives us 4 main reasons: query performance, flexibility in data access, recency in data updates and visualization of patterns. #saegusmeetup pic.twitter.com/qsCtUEpvdk— Saegus conseil (@saegus_france) May 23, 2018

“Which #RDF graph partitioning technique gives better performance in cluster triplestore? checkout our empirical evaluation of RDF graph partitioning techniques in different architectures. https://t.co/wRlrR8lOSa #EKAW2018 #BigData”

Super excited! Our work on explaining knowledge graph relationships has been judged as the best paper at @iswc2018. Thanks to the reviewers who gave extremely valuable suggestions to improve our work. #iswc_conf https://t.co/lNMOdsIQFi#ibm @IBMResearch— Sumit Bhatia (@sbhatia_) October 12, 2018

Excited to learn that we won the VLDB 2018 Best Paper Award! "The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing" https://t.co/F5rR8ND5NQ @queryproc @semihsalihoglu @lintool @ozsu— Siddhartha Sahu (@sdht0) August 16, 2018

Nested repeat() has merged for Gremlin 3.4.0 - wondering what new traversal patterns will evolve from this capability https://t.co/D7iGa9WRkG the @GCHQ developer who offered the pull request remains anonymously known as GCHQResearcher1337 - thanks to that person #graphdb pic.twitter.com/ULlT5KJfnt— stephen mallette (@spmallette) July 17, 2018

BioGraph uses @apachetinkerpop and Gremlin #graphdb https://t.co/vmps1W8VOW pic.twitter.com/BVKryYzx23— stephen mallette (@spmallette) November 21, 2018

I made a little doodle to help you determine when to use ML, and when to use a SQL query or IF statement instead. It's just a draft, so let me know what you think! pic.twitter.com/bsxwSpyJTY— Sara Robinson (@SRobTweets) October 19, 2018

The Stardog Studio 1.0.0 Beta is here! Studio 1.0.0 is the next generation of the Knowledge Graph IDE featuring a re-imagined editing environment for #SPARQL including introspections and auto-completion. Try it yourself here: https://t.co/SbsHRQBOqD pic.twitter.com/i1zqtBz3J3— Stardog (@StardogHQ) August 17, 2018

Stardog Studio 1.0.0 Beta is out now! The next generation of the Knowledge Graph IDE with a re-imagined editing environment for #SPARQL. Manage databases and security, author and execute saved queries from a simple to use interface. Try it now: https://t.co/SbsHRQkd23 pic.twitter.com/gmVBYqa3E3— Stardog (@StardogHQ) August 22, 2018

So apparently you can have @AzureCosmosDB act as a trigger for a FaaS/@AzureFunctions execution. How cool is that? Thanks go to @testerchoice for teaching folks about it.— Jonathan E. Magen (@yonkeltron) May 23, 2018

The DBpedia Databus is a decentralized data publication and integration platform. Its mission is to provide global and unified access to knowledge. Read the interview on WordLift blog.

The days of the one-size-fits-all monolithic database are behind us, and developers are using a multitude of purpose-built databases.

We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software, Ted Dunning, joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family!

This case study shares how Refinitiv used ArangoDB to build a sophisticated Business Intelligence Platform.

We're introducing new features that help you resume tasks where you left off, keep track of ideas and content that you found useful, and get relevant suggestions of things to explore next.