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To find the right nail for your AI or blockchain hammer, think distributed.

Network Medicine offers a series of powerful tools to identify new drugs and diagnostics. In this exceptional moment of need, we decided...

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19. This editor can help you provide them with that information. Note that most cases for using this markup is restricted to official government sites and there are strict guidelines for the accuracy of the information. Please read this Bing Post with details on what you are allowed to do, and need to do. Bing may punish sites that break the guidelines. If you do successfully provide information to Bing or Google, I'd love to hear about it. Email me or start a conversation on Twitter or the Facebook group (see to left). Same goes for any issues you have. Let's make sure this works. Also contact me if you have issues understanding the specifications and documentation. Bing, Google and schema.org are also very keen to get this working. To get started, use the following editor to enter your Special Announcem

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We are a diverse team of scientists, developers and data people from academia and industry.

One of the "defects" of RDF for data management is that it does not support business rules. That's a generality, so let me explain a bit. ...

Building a knowledge graph the semantic data modeling way in 10 steps with the help of Ontotext's knowledge graph technology experts.

Connect with us and learn about the latest news and solutions around high performance computing, supercomputing, AI, big data and more.

Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.

Creating Graphs in Python using Networkx #dataviz #tutorial #datascience #data #tech

Wan Kenobi, Alec Guinness are nodes and

How might we model graphs beyond the most common use cases, and take a more creative approach to graph modeling?

GQL standard project up for final vote in ISO/IEC ballot Plans to create a standard property graph query language GQL took a critical step forward, this past Friday June 14th. A year ago over 3,000 people took the opportunity to say “Yes to GQL” by voting in an open web poll for The GQL Manifesto,

Summary of crowdsourcing studies to assess the quality of knowledge graphs and complete missing values. Results focus on findings over the DBpedia knowledge gr…

explorerThe keyword has and hasLabel does all the m

Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar featuring prominent researchers and industry practitioners working on different aspects of knowledge graphs. It will showcase how latest research in AI, database systems and HCI is coming together in integrated intelligent systems centered around knowledge graphs.The seminar will be offered over Zoom as per the planned schedule.The seminar is open to public. Remote participants may join the seminar through Zoom. To be

In this post I explain common issues with query performance in Neo4j and how you may solve them using the Query Log Analyser tool.

.@cytoscape is an #opensource #software platform for complex networks #dataviz. #Neo4j Graphs are often too large for Cytoscape; this plugin allows you to write Cypher queries, import result as a network. Queries can be parameterized & stored for reuse

The German automotive giant is using Neo4j to help its HR team better understand its constantly changing corporate structure and reporting lines at a time when employees increasingly work in ‘swarms’

does it support reverse direction edges?— Dan Brickley (@danbri) March 18, 2019

Really excited to present our new paper on "Fast and Deep Graph Neural Networks" at #AAAI2020, in a few days in New York. Can't wait for it. @RealAAAIHave a look at the pre-print with supplementary material on ArXiv: https://t.co/Tt2Q8EQKcR#deeplearning #machinelearning— Claudio Gallicchio (@claudiogallicc1) February 4, 2020

“We are also releasing the first published embeddings of the full @Wikidata graph of 50M Wikipedia concepts, which serves as structured data for use in the AI research community. The embeddings can help other researchers perform machine learning tasks on Wikidata concepts.” https://t.co/1nqwaJvD8d— Dario Taraborelli (@ReaderMeter) April 3, 2019

#ontology has advantages over more common #data structures: Easy Architectural Changes, Inference, Linking Systems Together, Data Surfing. Ontology will become fundamental to how we organize and distribute data @ExagoInc h/t @aaranged

In this contributed article, editorial consultant Jelani Harper discusses how data modeling is the foundation of the data science discipline that’s [...]

Because Graph Analytics is the future

The #knowledgegraph--smart data that can describe your business and its domains--is now eating software. We won't be able to scale AI or other emerging tech wi…

Data.world has been expanding its footprint in the enterprise. The acqui-hiring of Capsenta complements its portfolio with knowledge graph virtualization to connect data in the cloud and on premise, and a UI to build knowledge graphs