Graph databases are shaped the way we think, so why can't people get their heads around them?

他每天下午都在学校踢球。

Look for semantic data systems to become more oriented around knowledge bases rather than inferential analysis, at least at first, while at the same time incorporating the latest advances in machine learning and auto-categorization.

How can companies step themselves into the world of graph databases? Neo4j thinks it has an answer. It has been offering a Startup Program for startups with 19 employees or fewer; more than 650 startups with fewer than 20 employees took advantage of having free access to Neo4j Enterprise clusters.

One of the challenges of Big Data is dealing with highly variable data. There are other challenges which we can recall by the other “V”s…

Continuing the analysis on semantics and data science, it’s time to talk about graph databases and what they have to offer us.

Neo4j’s Alicia Frame explains how life science researchers can exploit graph databases to get truly granular insight into big data to make major leaps forward in medical research.Complex data sets hold the key to advancing medical breakthroughs. These data sets tend to be voluminous and heterogeneous by nature, presenting an insurmountable challenge for traditional data analysis methods as they struggle to link patterns and outcomes. The unfortunate consequence is a slowdown in the progress of research.Anyone who works in life sciences is aware that they are working with highly connected information; the challenge is making sense of these connections. Unfortunately, many scientists are still using relational databases and spreadsheets which makes mapping important patterns and connections unintuitive and difficult, if not impossible.Graph technologyGraph technology is emerging as an enabler for researchers to trawl gargantuan amounts of unstructured data, turning it into valuab

A bit of history: the wild, early days of graph DBs Maybe not many know that billions of dollar/euros have been (publicly) invested from the early 2000 to 2015+ in a topic called "Semantic web" which had a kind of graph databases - triplestores - and it's related knowledge representation format (RDF

How to model #Facebook posts and user reactions, using #Neo4j #graphdatabase #socialmedia #data #analytics #softwareengineering #knowledgegraph

In this short technical blog, I will show you how to use GSQL to search a graph for all the occurrences of a small graph pattern. We call this pattern matching. Consider the problem of matching a pattern of vertices and directed edges in a...

limitless scalability.RDF and the Semantic web, w

Few years ago I decided that one day I would create a Graph Technology Landscape map, which would be useful for everyone who wants to discover the playe...

When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user...

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Ontotext announces the release of GraphDB 9.0, open-sourcing GraphDB front-end and engine plugins to empower the developers of knowledge graph solutions

Ontotext releases GraphDB 9.2 featuring the anticipated support for RDF*/SPARQL* and improvements in the plug-ins for semantic similarity and versioning.

GraphDB 9.3: optimized support for arbitrary path length in SPARQL brings quicker discovery of relationships in knowledge graphs

working individuals working overtime delivering groceries, people are taking on a role in supporting our society when we need it the most.These selfless people inspire us and we want them to know that we’re in this together. It’s time for us as a community to collaborate and do something positive.So — we invite you to join us and the global development community in an effort to unite our skills and bring some good to our world. ❤❤Let’s hack for good, together.Image source: CNN MoneyAbout Graphs4Good (GraphHack) 2020WHAT: any project that has a positive goal and can help others, qualifies. ❤WHERE: virtually, of course!

DataStax is the company behind the massively scalable, highly available, cloud-native NoSQL data platform built on Apache Cassandra™.

and while of course there are common patterns in REST AP

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Graphs #Analytics for Fraud Detection, using Graph #NeuralNetworks for Anomaly detection. GraphSAGE is Stanford #opensource project: deep neural network-based NRL toolkit, implemented in Tensorflow, making it ideal to develop an anomaly detection system

A Developer’s Log

Discover graph-powered COVID-19 projects, how Neo4j is supporting these efforts, and also learn how to get involved or receive support.

haystack discoveries that evade traditional analytic workflow.

A collection of RDF libraries for JavaScript