#Neo4j #GraphDB has added sharding @adamcowley shows when and how to use it #softwareengineering #data #tech #opensource #tutorial [LINK]https://adamcowley.co.uk/neo4j/sharding-neo4j-4.0/ [LINK]https://neo4j.com/docs/operations-manual/4.0-preview/images/fabric-single-instance.png

By treating reifications, assertions about assertions, as first-class objects in the Semantic Web, the idea of interchange between property and semantic graphs and the ability to work with graphs using a much broader set of tools opens up.

According to Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Big data combined with advances in data science approaches have provided a valuable opportunity for the pharma industry to uncover…

Why graph databases are becoming mainstream and their connection to AI, ML and big data use cases.

This post made it to #3 on HackerNews front page. Do engage in discussion there and show us love by giving us a GitHub star.

Graph databases are becoming more important to analytics by offering a capability to store relationships and perform unique algorithms.

Why is it so hard to standardize a Graph Query Language ? It is because graph databases are strongly dependent on the data model and the physical layer... 37 comments on LinkedIn

AnzoGraph is now available on Kubernetes. By deploying in this environment, you can easily define and install our graph database in cluster on-demand.

Organizations moving to graph-based intelligence need to look at the core commercial, operational, logistical questions they want to answer first, then build graph #datamodel to optimize for relationships in the business question #graphDB @DeniseKGosnell

page paper goes into a fair bit of detail about the proposal. The basic idea of how the system w

This week I’m attending a conference titled Collaborations Workshop 2019, run by the Software Sustainability Institute of the UK. The conference focuses on interoperability, documentation, tr…

When academic institutions write software what licenses do they use? Try this #sparql query on the @wikidata Query Service: https://t.co/3jV3dlNcng #lovedataweek #lovedata19 #digipres #eaasi pic.twitter.com/wXkNIBZpQm— WikiDigi (@WikiDigi) February 14, 2019

Wikipedia graph dataset. Wikipedia viewership activity (pagecounts) (Apache Cassandra) + graph structure representing web network of Wikipedia (Neo4J).

Fluree, Winston-Salem, North Carolina-based data-first technology stack company, announced recently that it raised $4.73 million in seed funding

yWorks’ submission to the Graph Drawing Contest 2018 in Barcelona, Spain