GraphNews

HOBBIT aims at abolishing the barriers in the adoption and deployment of Big Linked Data by European companies, by means of open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. These benchmarks are based on data that reflects reality and measures industry-relevant Key Performance Indicators (KPIs) with comparable results using standardized hardware.

Personal data is being centralized at an unprecedented scale, and this comes with widely known and far-reaching consequences, considering the recent data scandals with companies such as Equifax and Facebook. Decentralizing personal data storage allows people to take back control of their data, and Semantic Web technologies can facilitate data integration at runtime…

The addition of multi-master write replication to Microsoft's Azure Cosmos DB plays catch up with the rest of the public cloud players, but other features move the managed database ahead of the com...

Neo4j tunes its graph engine for AI applications - SiliconANGLE

This is major release features five distinct core AI capabilities directly aimed at improving investigative workflows across domains.

Connected Data London community cast. Michael Grove: Knowledge Graphs and Graph Databases have reached unprecedented levels of interest thanks to the efforts...

GDPR: 4 letters, an acronym being a nightmare for many companies. For the first time companies are really required to manage their data storage, workflows, security processes and processing. This session is about how graph database can support a GDPR compliance assessment.

Want more JanusGraph help? Here's part 1 of JanusGraph tips and tricks.

Follow these tips to speed up your JanusGraph queries when running against a variety of storage backends including Apache Cassandra, ScyllaDB, Apache HBase, and Google Cloud Bigtable.

After the recent general availability for Storage Explorer, we also added new features in the latest 1.1 release to align with Azure Storage platform...

ARLINGTON, Va. (PRWEB) September 06, 2018 Stardog, the leading Enterprise Knowledge Graph Platform, is proud to report that Gartner has recognized Knowledge Graphs as an emerging technology in it

Discover how law enforcement and government agencies are harnessing the power of graph database technology alongside the POLE data model (Person, Object, Location, Event) to uncover hidden connections in crime data, including networks of criminal and fraudulent behavior that were previously hidden.

For the milestone of the 3.4 release, we’ve implemented a set of information retrieval features exposed via new database object View.

We’re building a new data service for Parliament and an important component of it is our triple store, also known as a Graph Database. Matthieu Bosquet explains what this is and what it means for data in Parliament.

This release candidate is the first one with a cluster-ready ArangoSearch integration, the long awaited GeoJSON support and Google’s S2 Geo Index.

Stardog 5.3 includes 5x cluster performance improvement and S3 backups. Read on for the details.

A blog about my work and fun with Neo4j, the world's leading graph database platform.

Interactive visualization of the Gremlin graph database with D3.js - bricaud/graphexp

David and Jeff talk with Ted Wilmes from Expero about best practices regarding DSE Graph and the importance of proper data modeling. Highlights 0:16 - David goes through introductions and gets an answer about who/what is Expero 0:57 - Expero has the best swag and David realizes his laptop is already wearing some 2:13 - What does Expero help developers understand? 3:55 - Ted explains why core DSE data modeling is so important because everything you do in DSE Graph eventually maps down to your model 4:39 - Potential graph pitfalls from not understanding implications of the underlying data mod...

Just recently A* Algorithm was added to Neo4j graph algorithms and I decided to show how nicely APOC spatial functions fit with it as it uses GPS location for heuristic. Import I found this cool gi…

Recently similarity algorithms were introduced in Neo4j graph algorithms library, so I decided to show how easy it has become to infer a graph using Jaccard similarity and then run Community detect…

Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.