If you're using #ApacheSpark to load data into #Neo4j you might be interested in our latest contribution to https://t.co/MzCRWUdu8h.Thanks to @mesirii, we added more functionality to Neo4jDataFrame, improving relationship creation and adding node creation functionality 💪— Tomer Levi (@Tomer_Levi) February 12, 2019

Learn more about the Closeness Centrality graph database algorithm, which measures how a central a node is within its cluster.

In your opinion which structured data markup syntax is the easiest to use when adding #schema.org information to a web page?— Aaron Bradley (@aaranged) January 29, 2019

Connected Data London community cast. Gavin Mendel-Gleason: Quick overview of query language and how we got here

Albany, US, 2019-Jan-23 — /EPR Network/ —Market Research Hub (MRH) has actively included a new research study titled “Global Graph Database Market” Size

My new paper on ontologies in Data and SW engineering https://t.co/jqQAEMZbEl @nimonika— Christian Dirschl (@HaintzD) January 3, 2019

If there's any doubts that Apple's Siri is (or at least leverages) a knowledge graph, they're laid to rest with this job posting from Apple > Siri - ML Engineer - Knowledge Graph - Apple (CA) https://t.co/1PFdecMk9V— Aaron Bradley (@aaranged) January 21, 2019

We just released PSPS: an open source tool allowing Linked Data sites based on GitHub repositories. Like GitHub pages but self-hosted and with SPARQL and RDF. Check it out: https://t.co/tBu6xvA2Qa - As you might have guessed: that's the software powering https://t.co/olmahLZFvb— FactsMission AG (@FactsMission) January 10, 2019

This is so cool, this is the first time for me to ship a #Scala REPL based product. The @apachetinkerpop based DSL allows to query your own codebase for security vulnerabilitries, data leaks etc. https://t.co/1xSOwCnhI3— Michael Pollmeier (@pollmeier) December 11, 2018

Obfuscation traditionally gives analysts a bit of a hard time. Graph databases can help look past the smoke and mirrors. Learn more on the G DATA TechBlog!

ELMo’s LM was bi-directional, but the openAI transformer only trains a forward LM. A transformer-based model whose LM looks both forward & backwards?-> transformer encoders :: BERT https://t.co/j20F9RFoD5READ:https://t.co/8OsE3c7Vxh#LM_M = Language Model, masked #NLP— Tom (@data_topology) December 14, 2018

3.4.0 Highlights - Use #sparql with any TinkerPop-enabled graph system. This feature should be as interesting to graph providers as it is to users because implementing TinkerPop means getting other query languages besides Gremlin for free https://t.co/cBxjH8BCsW #graphdb #rdf pic.twitter.com/dQsXqCJtL2— TinkerPop (@apachetinkerpop) January 9, 2019

In this post I explain common issues with query performance in Neo4j and how you may solve them using the Query Log Analyser tool.

Short comparision of #SPARQL and #GraphQL by @RubenVerborgh. One SPARQL Query can go against multiple SPARQL endpoints in a natural way - that is not equal to schema stitching in GraphQL because there is no need for schema assumptions of different #API's: https://t.co/RWYuvBSIqX— Francis Opoku (@fraopo) December 23, 2018

While the term “Knowledge Graph” is relatively new (Google 2012) the concept of “representing knowledge as a set of relations between entities - forming a “graph” has been around for much longer. 2019 marks, for example, the 20th anniversary of the publication of arguably the first open standard for

Graph databases are receiving a lot of hype these days because of the promise of fast and flexible queries that aren’t possible within either traditional RDBMs or NoSQL stores built on simple/singular access patterns. There are some practical tips and tricks that ensure that your graph database project is going to live up to the hype. In this talk, we will walk through the data modeling tips and tricks that are being used to help graph users achieve success. We’ll also highlight how to avoid the largest graph problem that can plague any graph database project, the dreaded supernode. This wi...

Luis Bosquez, Program Manager for Azure Cosmos DB shares an overview of the Graph/Gremlin API, and best practices app developers can use when building apps using the graph data model and Apache Tinkerpop Gremlin language. http://www.azurecosmosdb.com Graph/Gremlin API - Documentation: https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction About Azure Cosmos DB: Azure Cosmos DB is a fully-managed NoSQL database service offering unlimited and elastic scalability of throughput and storage, and guaranteed speed and performance anywhere in the world.

For the interested -- you can find an empirical study of the sparql-gremlin mapping used by the plugin here: https://t.co/QGIzufzDKo— Harsh Thakkar (@Harsh9t) January 11, 2019

3.4.0 Highlights - GraphBinary is the new network serialization format that has shown to be significantly faster than the existing options. Expect more developments to come as the 3.4.x line of code develops - https://t.co/GkTEMmmTBJ #graphdb pic.twitter.com/WTMyI8nv6l— TinkerPop (@apachetinkerpop) January 11, 2019

I have submitted mine. Find it at https://t.co/tdWjN8NhdX"The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs"— Olaf Hartig (@olafhartig) January 11, 2019

Apache TinkerPop 3.3.5 Released. Gremlin Symphony #40 in G Minor https://t.co/lgWIBL4Q23 #graphdb #nosql pic.twitter.com/8UBWfI7aCt— TinkerPop (@apachetinkerpop) January 9, 2019

Apache TinkerPop 3.2.11 Released. Nine Inch Gremlins https://t.co/niaJ7oB1wK #graphdb #nosql pic.twitter.com/B8NfL8peWT— TinkerPop (@apachetinkerpop) January 9, 2019

Apache TinkerPop 3.4.0 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/b6wgT8GnuE #graphdb #nosql pic.twitter.com/FnNxhQULfD— TinkerPop (@apachetinkerpop) January 9, 2019

https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019

“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”

The biggest challenge for enterprise IT is connecting data because unconnected data is a liability.

Personally, I am always most excited by technology when it can have a positive impact on society and the lives of ordinary people. Curing…

“Q: which product taxonomies are used in the Shopping / Ad industries? Google's Product Taxonomy is a de facto standard but it lacks freshness, coverage and/or finesse in some areas. I'm also looking at product taxonomies from Amazon, Ebay, Walmart, Target, Groupon. What else?”