How the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages

Exploring decentralized finance on the blockchain with a graph database

Learn how to combine Selenium and SpaCy to create a Neo4j knowledge graph of the Harry Potter universe

In the previous SPHERE news article focusing on the application of ontologies for digital twins of buildings, the importance of interoperability between data environments was stressed to reach a rich digital representation. In our philosophy, applications in the SPHERE ecosystem should always be replaceable to avoid vendor-lock in and to stimulate a best-of-breed approach. Such ... Read more

https://lnkd.in/eWj8SW2 How do graph databases work under the hood and how is this different from relational databases? In this, Will It Graph blog series...

While graph databases like Neo4j are schemaless by default, leverage the power of schemas in development by focusing on application driven graph schema design

Until very recently, the objects of common use such as wearable devices, cars, watches, refrigerators and health-monitoring devices, did not produce or handle d

he high-performance graph database solution provider, Ultipa, secures $21M in Series-A financing led by a well-known sovereign fund, and its angel investor, CM

This article is an introduction into a field of graph-based code analysis. We will discuss a base concept of graph-based code analysis and learn how to build a Codebase Knowledge Graph (or Code Knowledge Graph or simply CKG) for a .NET Core project using Strazh.

Vesoft Inc. is planning a new funding round that could bolster the Chinese graph database technology startup’s valuation to almost $1 billion, according to its founder and Chief Executive Officer Sherman Ye.

Fixing the talent pipeline so that finding rocket scientists doesn't have to be rocket science

Commentary: Relational databases aren't dead, but database innovation is cropping up in all sorts of places now, including graph databases.

Fridays give away! Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms. Like and comment ... 75 comments on LinkedIn

Learn how to visualize your intellectual property protection holistically to discover the gaps and evaluate their effects on dependent products and revenues.

Knowledge technologies and semantic standards are changing the nature of data management – but the issues, obstacles and use cases that define the industry are often described in anecdotal terms. To address that information gap, the Knowledge Graph Conference commissioned this study to begin to quantify the size, dynamics and direction of the industry.  We hope you find the report and our extended analysis useful.

Winners of the OGB-LSC graph machine learning challenge have just been announced at https://lnkd.in/dP83-fV Congratulations to the winning teams from Baidu...

Visualizing graphs is hard. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.

Our latest benchmark report, Trillion Edge Knowledge Graph, is the first demonstration of a massive knowledge graph that consists of materialized data and Virtual Graphs spanning hybrid multicloud data sources. We prove it is possible to have a 1 trillion-edge knowledge graph and deliver sub-second query times while achieving a 98% cost savings.

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. It provides both full implementations of state-of-the-art models for data scientists... 26 comments on LinkedIn

Bitnine Promoting a First IPO in the Graph Database Industry This Year https://t.co/Lh9zi7g0ZJ pic.twitter.com/9JJYcUwTQK— Latest News from Business Wire (@NewsFromBW) March 2, 2021

Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.

A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification

Microsoft's annual developer event, Build, introduces no revolutionary changes on the data and analytics front, but there's a long manifest of new evolutionary features and service tiers.

One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.

This blog discusses why, after being a strong supporter of using OWL, I no longer use it and had completely abandoned it in favor of SHACL.

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With a Free 50GB Download...

This is a guest post by Russell Waterson, Knowledge Graph Engineer at Data Lens Ltd. Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available. Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and […]