GraphNews

This guide will help you understand JSON-LD and structured data markup. Go beyond the online generators and prepare your web pages for the future of search!

Learn how the HPE Ezmeral software portfolio can empower your business with intelligence, automation, security, and the ability to modernize your applications—fueling data-driven digital transformation, from edge to cloud.

Analyzing US Lobbying Data in #Neo4J #graphdatabase

28% of 20 million websites reviewed by @woorank are already using Structured Data #connecteddata #knowledgegraph #SEO #semantics #SchemaOrg h/t @cyberandy For a hands-on, in depth tutorial: [LINK]https://www.slideshare.net/ConnectedDataLondon/from-knowledge-graphs-to-aipowered-seo-using-taxonomies-schemas-and-knowledge-graphs-to-improve-search-engine-rankings-and-web

The new language model our teams built is the largest and most powerful one ever created – a milestone with the promise to transform how technology understands and assists us. https://t.co/YvLM0HAr8u— Satya Nadella (@satyanadella) February 12, 2020

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

.@CamSemantics announces Anzo #GraphDB v.2: RDF*, Custom SDK, Free Edition. "Imagine being able to do labeled properties, just like you do in Neo4j & other property graphs, but also have capability of RDF to help w ontologies & inferencing" #data #tech

powered applications with minimum friction.Broad compatibility with existing and future software developm

Michael K. Bergman announces his new book, A Knowledge Representation Practionary: Guidance from Charles Sanders Peirce. The book applies this guidance to the question of how to best represent human knowledge to computers. The book's practical guidelines should be of interest to any enterprise KM ma

Read this blog to learn about the exciting news that Neo4j Aura is now available on Google Cloud Platform.

grade features and scale. We appreciate your candid stories and collaboration, and we’ve used this to create a better solution. As such, we’re excited to announce Neo4j for Graph Data Science™, the first data science environment built to harness the predictive power of relationships for enterprise deployments. Neo4j for Graph Data Science is an ecosystem of tools that includes: With Neo4j for Graph Data Science, data scientists are empowered to confide

Learn more about Neo4j Labs, an innovative incubator with a focus on integrations, tools and libraries that extend the Neo4j Graph Platform.

Today we’re happy to announce the GA release of Stardog 7, including new low-level storage engine based on RocksDB. Read on for the glorious details.

We’re happy to announce the beta release of Stardog 7 which comes with a new storage engine that significantly improves write performance.

Personally, I am always most excited by technology when it can have a positive impact on society and the lives of ordinary people. Curing…

TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.

Use new Geospatial and GeoSPARQL functionality in AnzoGraph DB to develop large scale location intelligence and geospatial applications along-side rich data-analytics using SPARQL* and RDF*.

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs

A technologist and DZone Leader sat down with an expert in big data and NoSQL databases to discuss his creation, AnzoGraph, and how it applies to big data.

Learn all about the positive vote to include Cypher queries and graph algorithms on DataFrame-based property graphs as part of Apache Spark 3.0.

Free @DataStax Academy course Getting Started w @apachetinkerpop & Gremlin. To be familiar with Gremlin traversal syntax & techniques, developers need to understand how the language works @ABridgwater @DeniseKGosnell #tutorial #softwaredevelopment

In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.

We are super excited to share the latest upgrades to ArangoDB which are now available with ArangoDB 3.5. With the fast-growing team, we could build many new and long-awaited features in the open-source edition and Enterprise Edition. Get ArangoDB 3.5 on our download page and see all changes in the Changelog. Need to know more […]

Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database. We feel honored and frankly a bit proud that Bow Capital is leading this investment round and shows their trust in our product, team, and amazing community. […]

Graph Convolutional Networks (GCNs) generalize the idea of deep convolutional

The drug discovery process is hugely data-intensive, making it an ideal application for artificial intelligence (AI) and machine learning. But…

Data Lakes will evolve into knowledge graphs. This article is aimed at explaining the meaning of Knowledge graphs based on semantic web and why it will eventually secure its rightful place in organizing enterprise knowledge.