Discover Neo4j Bloom, the latest product from the Neo4j team. This graph data visualization tool helps traditional Neo4j users communicate with their non-technical peers in a simple manner that reveals and explains the concepts of data connectedness for all people, regardless of technical background.

Discover how knowledge graphs are the key to delivering relevant search results, and how they are used for a wide range of use cases and industries.

Bye Bye Silos! Those who stay on their islands will fall back. This statement is valid on nearly any level of our increasingly complex society, ranging from whole cultural areas down to single individuals.

AI is in its infancy and cannot be left unattended. Whether unintentional or by malicious design, algorithms behaving unexpectedly are now a fact of life.

The original Semantic Web vision foresees to describe entities in a way that the meaning can be interpreted both by machines and humans. Following that idea, l…

I usually mention both as unique/key features of RDF: global identifiers and zero-cost merge— Martynas Jusevicius (@namedgraph) June 8, 2018

The true role graph databases will play in the future of enterprise data management is nuanced. An overview of the Enterprise Data World (EDW) Presentation by CEO Salah Kamel.

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

Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs (KGs). The problem can be formulated in a reinforcement learning (RL) setup, where a...

SAN FRANCISCO, May 2, 2018 -- Neo4j, the leading platform for connected data, today announced Neo4j 3.4, which includes horizontal scaling, performance

Neo4j tunes its graph engine for AI applications - SiliconANGLE

Happening in March next year: the @w3c Workshop on Web Standardization for Graph Data.Mark your calendars and express your interest in participating!https://t.co/HbDEO3dxM4 https://t.co/PELY1dVkyT— Olaf Hartig (@olafhartig) October 15, 2018

Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid performance on 3-hop, 6-hop, and even 10-hop queries. Multi-hop queries on large data sets are the future of graph analytics....

Ontotext’s GraphDB powers http://www.legislation.gov.uk and https://data.gov.uk/ and helps the service reach a larger public.

Noam Chomsky, the outspoken and prolific linguist, cognitive scientist, philosopher and social critic, is the subject of the first public Knowledge Graph,

Cause getting your JSON-LD should be simple

This case study shares how Refinitiv used ArangoDB to build a sophisticated Business Intelligence Platform.

Managing fault tolerance in Elixir with supervision trees

Introducing our Knowledge Graph for encoding relationships and surfacing relevant information

I was told the other day by an ontologist acquaintance of mine that they only use Protege or Top Braid Composer for their modeling work…

There have been some exciting developments of late in the Semantic Web and Technology space. Semantic Technology trends in 2018 will continue to advance many of the trends discussed in 2017 and build upon a number of new changes just entering the marketplace.

A talk with Andrea Volpini about the Web, AI, data, WordLift and a bit of transcendental meditation.

SHACL is a useful tool for dealing with RDF graphs that models events. It's great for handling events, especially start dates, end dates, and event types.

Learn how to find similar items in the Knowledge Graph with machine learning.

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.