Joshua Shinavier from Uber coming up with a broad definition of knowledge graphs #us2ts2019 pic.twitter.com/0LbMMJQP6S— Gaurav Vaidya (@mrvaidya) March 11, 2019

How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.

My thoughts on the future of @apachetinkerpop.I believe:Apache TinkerPopA Graph Computing Frameworks==should become==>Apache TinkerPopA Distributed Computing Virtual Machine and Languagehttps://t.co/Z5BKnewpS0 #graphdb #nosql pic.twitter.com/yX2wvoRaYQ— Marko A. Rodriguez (@twarko) February 26, 2019

Hey Dan, thanks for the ping. First of all, I'll point y'all to a related thread a few weeks ago... https://t.co/haTtBJfAhA 1/24— Aaron Bradley (@aaranged) February 25, 2019

In social network analysis, a conventional approach relies heavily on available metadata, allowing to match a virtual entity (social network account) to...

Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.

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