Computerworld covers a range of technology topics, with a focus on these core areas of IT: Windows, Mobile, Apple/enterprise, Office and productivity suites, collaboration, web browsers and blockchain, as well as relevant information about companies such as Microsoft, Apple and Google.

Finding the shortest path from Country A to Country B using Graph #analytics #algorithms #javascript #tutorial #softwareengineering #datascience #GraphDB #opensource #Neo4J #data #tech [LINK]https://technology.amis.nl/2019/01/01/finding-the-shortest-path-from-country-a-to-country-b-using-neo4j-and-node/ [LINK]https://miro.medium.com/max/1370/0*Ol4T6m9f4Y2W7T9W.png

If you want to use GraphQL with Neo4j from any JVM based API, this library helps you to use your schema to transpile the query to Cypher.

Solutions Review highlights the most common graph database use cases you need to know about so you can select the best software.

In this blog post, we explore how and why semantics and graph data models are necessary when implementing a data fabric architecture.

Combines graph and document technologies, ontology design, and AI data science expertise

Grab your free copy of the brand new O'Reilly book, "Graph Algorithms: Practical Examples in Apache Spark & Neo4j" – a practical guide to graph analytics.

From a bird eye's view, the DBpedia Extraction Framework takes a MediaWiki dump as input, and turns it into a knowledge graph. In this talk, I discuss the crea…

The mission of FKG group is to create specifications for encoding ontologies that AI Assistants can operate upon enabling them to execute functions embedded in a web page. FKGs are encoded in JSON-LD, this group defines the vocabulary. A detailed proposal can be found at: https://github.com/keyvan-m-sadeghi/assister/blob/assister-conception/rfcs/text/assister-conception/README.md

We all want to know “Where does our meat come from?” or “Is this a reliable information or fake news?”. If we ask this kind of questions…

Even with all the buzz around the technology and the snazzy visualisations, graph databases are still a novel concept for many organisations. My recent experience of working with company register relationship data and evaluating graph databases from various vendors led to some interesting insights i

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org - Accenture/AmpliGraph

A comprehensive collection of recent papers on graph deep learning - DeepGraphLearning/LiteratureDL4Graph

Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧ - neo4j-labs/neosemantics

VLog, a new rule based reasoner on #KnowledgeGraphs, with #opensource implementation on #Github #iswc_conf #research #sfotwareengineering h/t

Cypher for Gremlin adds Cypher support to any Gremlin graph database. - opencypher/cypher-for-gremlin

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

Read the latest installment of Joe Depeau's blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.

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

Graph databases and analytics are getting ever more accessible and relevant

If you have been wondering what I've been up to lately you should take a look at the book I have been writing, "Graph Databases in Action" for Manning....

Property graphs provide a lot of flexibility in data modeling; but how do you know when to use which feature?

When building graph data models we frequently have to deal with a degree of polymorphism for our entities just like the real world. For instance – I’m a person, but I’m also a parent, a spouse, a sibling, a child, a… Implicit categorisation Sometimes the entity categories are entirely defined by relationships to other entities. […]

#Oracle offers #GraphDatabase, Graph #Analytics free of charge with purchase of main Oracle product license. 2 different products: Database built over Oracle's relational store using RDF/SPARQL. Analytics in-memory engine, custom query language

The graph database market is very exciting, as the long list of vendors continues to grow. You may not know that there are huge differences in the origin story of the dozens of graph databases on the market today. It’s this origin story that greatly impacts the superpowers and weaknesses of the various offerings.

Graph databases enable users to map the relationships between different data elements for analytics applications. In this handbook, we look at graph database use cases and provide real-world exampl...

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.