Boettiger, (2019). Ecological Metadata as Linked Data. Journal of Open Source Software, 4(34), 1276, https://doi.org/10.21105/joss.01276

Augmented analytics tools, NLP search and graph analytics are the top trends for 2019 and beyond. Experts say augmented analytics and NLP are transforming how enterprises consume data and derive in...

If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science. Henri…

Graph databases and document databases make up a subcategory of non-relational databases or NoSQL. NoSQL databases were created to get a handle on large amounts of messy Big Data, moving very quickly. Managers use the non-relational toolkit to gain business insights and detect patterns in information on the fly, as Big Data streams into the system. Many companies, especially those with a large web presence like Google, Facebook, and Twitter, consider NoSQL databases a must-have.

Happy to share what the Property Graph Schema Working Group has been working on for a few months. Slides https://t.co/7TzSMPobnqIndustry Survey https://t.co/MdfK1fL2wiUse Case & Requirements https://t.co/4ZuCy6zT6ZAcademic Survey https://t.co/J7rZYioIHG #W3CGraphWorkshop— Juan Sequeda (@juansequeda) March 4, 2019

With our semantic chatbot, semantize your data without even having to understand what data semantization is!

Cypher for Gremlin adds Cypher support to any Gremlin graph database. - opencypher/cypher-for-gremlin

Where we are and where are we headed #W3CGraphWorkshop pic.twitter.com/gdKPx9e77l— Harsh Thakkar (@Harsh9t) March 6, 2019

“My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked here: https://t.co/P3oV4Xshwr #W3CGraphWorkshop 👇”

Hi Marko and welcome back! Been a bit heads down - thanks for the link. Will go have a read.— Kelvin Lawrence (@gfxman) February 27, 2019

New @ManningBooks early access book: "Graph-Powered Machine Learning" by Dr. Alessandro Negro @AlessandroNegro #MachineLearning #neo4j #AmazonNeptune #DataScience https://t.co/XpxZK3jw0g pic.twitter.com/xntecIh0Yh— John Dhabolt (@Dhabolt) October 17, 2018

Gain a basic understanding of graph-based meta data management in enterprise data governance with Apache Atlas as a prime example.

In my previous post, Rule Execution with SHACL, we have looked at how SHACL rules can be utilized to make inferences. In this post we consider a more complex situation where SHACL rules are used to…

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

Transforming our in-person events to online

December 14, 2018 Posted by László Velinszky | Comments JUGRI: The JUpyter - GRemlin Interface...

Norconex crawlers can now be used to harvest relationships from websites and filesystems and feed them to Neo4j.

Microsoft Academic Knowledge GraphA #SPARQL endpoint to and #RDF dumps of8 Billion Triples of Scholarly Data.https://t.co/bs6pXoh9Z7https://t.co/orZEq9Dt8Jhttps://t.co/IUP8FQWk5j pic.twitter.com/KBvtdAOzwd— Ivo Velitchkov (@kvistgaard) January 8, 2019

How can investigation into money distribution and tracking funds cross the borders of blockchains?

IMO there's no need to mix-in #SPARQL into #SQL. There's SQL/MED. Only few things are missing in standard SQL to query distributed #LinkedData: 1. HTTP endpoint 2. SPARQL SERVICE alike SQL keyw. Who helps proposing a spec. about this? @danbri Is @w3c the right place to do this?— Stefan Keller (@sfkeller) February 23, 2019

Just as sad is what’s happening to web sites. 15 yrs ago we had data driven web sites that reflected what was in the corporate database about staff, students, research projects ... Today they’re run by comms and marketing. Can’t find any info linked or not— Wendy Hall (@DameWendyDBE) February 28, 2019

In this post, we go into detail on how we optimized our data pipeline to be ultra efficient to both load historical bitcoin chain data and keep up to date with new blocks as they arrive. Hope you find it useful! 🤓 pic.twitter.com/fuaWXq9gPn— TokenAnalyst (@thetokenanalyst) February 22, 2019

This post is a series of 3 articles about the GraphTech ecosystem. This article covers the graph analytics landscape: frameworks, libraries, query languages

Pretty standard (knowledge graph) mining of the Grammy artists and their connections. It's nice to see News being mined to discover and rank connections but confusing co-occurrences with factual relationships doesn't look great.Exhibit: https://t.co/Wkv1ckt7ykvia @aaranged— Nicolas Torzec (@nicolastorzec) February 21, 2019

So yeah. Today Gartner named Graphs on their top 10 trends for data in 2019, stating that "graph DBMSs will grow at 100 percent annually through 2022." 💪💪💪 pic.twitter.com/LsCg38eyON— Emil Eifrem (@emileifrem) February 18, 2019

“How powerful are Graph Neural Networks? Slides from my talk at ITA workshop in San Diego. https://t.co/K4syDPYe82”

London, United Kingdom — February 05, 2018 — Today, Memgraph, creator of the real-time distributed enterprise graph database platform, has…