Modelling knowledge as it *is*, not as it *should be*

The way in which general encyclopaedic knowledge is collected, curated and used has changed dramatically. Anyone in the world can edit Wikipedia at any time, as a registered user or anonymously. This happens in parallel in different languages. To include all even minority languages and avoid a misal

Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In...

Wikidata is arguably one of Wikipedia's most successful sister projects. It had a profound impact on Wikipedia in just a few years.

In this review, we provide a summary of recent progress in ontology mapping (OM) at a crucial time when biomedical research is under a deluge of an in…

Graph databases such as Neo4J are gaining in popularity. These are in many ways comparable to RDF databases (triplestores), but I will highlight three differences: The underlying datamodel in most …

.@DDIAlliance releases XKOS v1.2 (Extended Knowledge Organization System) specification →facilitates sharing & management of statistical classifications.(For building #Semantic Taxonomies to tag Datasets & #DataScience outputs)https://t.co/HZD1nl5Nu0#BigData #Ontologies #RDF pic.twitter.com/DDYbHqCvm7— Kirk Borne (@KirkDBorne) June 21, 2019

This article, based on a comprehensive history and definitions of the concept, provides a common-sense view of how to understand knowledge graphs.

Combines graph and document technologies, ontology design, and AI data science expertise

Alan Morrison's answer: Graph databases are often used to store knowledge graph data and the accompanying description, predicate and rule-based logic. Knowledge graph: A knowledge graph is a knowledge base that’s made machine readable with the help of logically consistent, linked graphs that tog...

We announce the first release of the knowledge graph for public procurement, integrating tender and company data. TheyBuyForYou is a three year initiative bringing together researchers, innovators and public administrations from 5 European countries. It is supported by EU H2020. The aim of the programme is to make procurement data more easily accessible and hence facilitate better decisions in areas such as economic development, demand management, competitive markets and vendor intelligence.

Artificial Intelligence company Expert System today announced the availability in its Cogito® AI platform of the Creative Works Ontology developed by MovieLabs, the non-profit R&D joint venture started by the major Hollywood studios. MovieLabs’s Creative Works Ontology, published late last year helps fill the need of media companies to adapt their infrastructures to an increasingly … Continue reading "Expert System supports media organizations with the MovieLabs Creative Works Ontology"

When building graph data models we frequently have to deal with a degree of polymorphism for our entities just like the real world. For instance – I’m a person, but I’m also a parent, a spouse, a sibling, a child, a… Implicit categorisation Sometimes the entity categories are entirely defined by relationships to other entities. […]

Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.

Knowledge graphs make speech recognition and text analytics immediately accessible, enabling real-time customer interactions that can maximize business objectives and revenues.

Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.

A knowledge graph can understand what they’re actually looking for in the real world, and it can get your customers exactly what information they need.

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…

Hello, ACL 2019 has just finished and I attended the whole week of the conference talks, tutorials, and workshops in beautiful Florence…

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 →