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?”

Image taken from wikipedia, Couple of days ago I was presenting “How to use similarity algorithms” in a Neo4j online meetup with Mark Needham. Among other use-cases we discussed how the…

So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as I'm new to all this and only familiar with SHACL.— Bryan J. Brown (@bryjbrown) November 26, 2018

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.

Today we want to make this available in a first release under an Apache License for you to try out and test. It works with Neo4j from 3.4.x

Am I the only one who thinks there's nothing really wrong with the #RDF stack?To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old software design paradigms and think graph- and Web-native.— Martynas Jusevicius (@namedgraph) November 27, 2018

Interesting piece. Many seem to be feeling around blindly for the next unicorn, when new value from data is being created and discussed openly by companies who blend statistical and knowledge modeling. Some examples: https://t.co/V3QCVLSmBT https://t.co/aOvQnYz1XV— Alan Morrison (@AlanMorrison) November 17, 2018

Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results. In this blog post we show you how to achieve this by connecting an Amazon SageMaker notebook to an Amazon Neptune database. […]

Gremlin is one of the most popular query languages for exploring and analyzing data modeled as property graphs. There are many…

If you find https://t.co/XZ7CIl9C8r interesting, knowledge graphs the next generation of search, & linked data a place where the web becomes a very useful database, you might want to check out this new site from the creators of https://t.co/XZ7CIl9C8r: https://t.co/bhnxXR1grI— Bill Slawski ⚓ (@bill_slawski) October 18, 2018