OpenAI believes that huge computing power is key driver

06/20/19 - Knowledge graph reasoning, which aims at predicting the missing facts through reasoning with the observed facts, is critical to ma...

I’m a big fan of Schema.org. A while back I generated an OpenAPI 2.0 (fka Swagger) definition for each one and published to GitHub. I’m currently cleaning up the project, publishing them as OpenAPI 3.0 files, and relaunching the site around it. As I was doing this work, I found myself thinking more about why Schema.org isn’t the goto schema solution for all API providers. It is a challenge that is multi-layered like an onion, and probably just as stinky, and will no doubt leave you cryin

"The Linked Irish Traditional Music Ontology, an extension of FRBRoo, is designed to represent contemporary and historical Irish traditional music practice, documentation, and performance. It was developed in 2019 for use at the Irish Traditional Music Archive, Dublin." https://t.co/gepumprBtS— Aaron Bradley (@aaranged) June 26, 2019

This is a post in a series of tips on ontology development, see the parent post for more details. (Note there is an excellent introduction to this topic in the ontogenesis blog) The 2003 paper Modu…

NASA says graph is proving an ideal tool for helping improve astronaut experience on the International Space Station

Machine learning reveals knowledge of materials ‘hidden’ in papers.

See how to benchmark your system using the HOBBIT platform @hobbit_project #benchmarking #opendata #LinkedData #MachineLearning #H2020 https://t.co/BvzQwO7W8U pic.twitter.com/RW9LDCxvFB— Project HOBBIT (@hobbit_project) July 4, 2019

some TypeScript type system features, such as discriminated type unions, powerful type inference, nullability checking, and type intersections, present an opportunity to both model what Schema.org-conformant JSON-LD looks like, while also providing ergonomic completions to the developer

Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →

This is a post in a series of tips on ontology development, see the parent post for more details. Ontologies contain both textual definitions (aimed primarily at humans) and logical definitions (ai…

Querying the first RDF Data Cube based on an existing PC-Axis/PX data cube published by @swissstatistics. Thanks to @bergi_bergos for the great converter, will be made public later pic.twitter.com/4SJ3jpKg7e— Adrian Gschwend (@linkedktk) July 10, 2019

A piece that attempts to clarify what metadata is, and why it can be so helpful to content. Answers a frequently asked question that our integration team receives.

The core business value and use cases for a well-designed effective enterprise taxonomy design have remained true over the years.

Big data, semantic searches, and real-time responses are the reason behind the growing demand for graph databases. This article talks about what a graph database is, why graph databases are popular, and why and when we should use a graph database.

My friend Arun Batchu and I have had several spirited discussions about a recent article in the July 2019 Scientific American about…

A comprehensive collection of recent papers on graph deep learning - DeepGraphLearning/LiteratureDL4Graph

Reading a very interesting BAthesis "Design of a #LinkedData-enabled #Microservice Platform for the Industrial Internet of Things" that was part of the @scale_it_org project. https://t.co/8I5uqGQJv8— The 🐟‍‍ BabelFish (@bblfish) July 2, 2019

Semantic standards have been with us since the birth of the web, when it became clear to inventors of the web like Tim Berners-Lee and many others that meaning could be systematically captured, organized, and exploited to do valuable tasks. Since then, the idea of applying formal semantics to enterprise data has come and faded […]

The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid...

Solutions Review highlights the most common graph database use cases you need to know about so you can select the best software.

This is one post in a series of tips on ontology development, see the parent post for more details. When building a bio-ontology, we frequently make design decisions regarding how we choose to mode…

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,

Decentralized apps will need a lot of flexibility, which they will gain through data shapes ◆ Ever since Ed Sheeran’s 2017 hit, I just can’t stop thinking about shapes. It’s more than the earworm though: 2017 is the year in which I got deeply involved with Solid, and also when the SHACL recommendation for shapes was published…

We present a solution to learn URI selection criteria in order to improve the crawling of Linked Open Data by predicting their RDF-relevance. The prediction co…

Knowledge graph data models show meaningful relationships between data, allowing knowledge and data assets to be understood by both humans and machines.

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