How simple structured data trumps clever machine learning

Why Question-Answering Engines? The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.

For regular readers of the (lately somewhat irregularly published) The Cagle Report, I've finally managed to get my feet underneath me at Data Science Central, and am gearing up with a number of new initiatives, including a video interview program that I'm getting underway as soon as I can get the l

In late November the U.S. Federal Drug Administration approved Benevolent AI’s recommended arthritis drug Baricitnib as a COVID-19…

Of course, every thing “isa” thing

On the role of knowledge that is structured, explicit and intelligible in providing a path toward higher machine intelligence

The future of search is the rise of intelligent data and documents. Way back in 1991, Tim Berners-Lee, then a young English software developer working at CERN…

Is it me or the Twitter graph and the LinkedIn graph feel a bit disconnected? I personally tend to interact more with the first and that's why I have the impression that the second might be missing out on some of the nice and "graphy" content that I've been producing lately. This article is just a c

Building scalable semantic retrieval from image, text, graph, and interaction data

I worked on some experiments on RDF-to-text generation. The goal is to generate coherent multi-sentence texts from data in a knowledge graph. While not...

AmpliGraph is a TensorFlow-based open-source library developed by Accenture Labs for predicting links between concepts in knowledge graphs.

Version 5 is now live…

DIG: Dive into Graphs A research-oriented library that includes unified and extensible implementations of algorithms for (1) graph generation, (2) self-supervised...

What’s the best way to get to know your customers? Learn how Wunderman Thompson understands their market using their identity graph.

At the first-ever Disney Platform Tech Showcase, Disney Advertising Sales highlighted the Company’s investments in technology and innovation – unveiling strategies and solutions around data-driven precision, premium ad experiences and frictionless transactions for marketers.

A set of benchmark repositories for node classification on knowledge graphs (work in progress).

Seeking to develop a multilingual Wikipedia where content can be shared among language editions.

Introducing a completely redesigned release with a unique user experience

There is a great deal of talk these days about using knowledge graphs to help manage large amounts of data. Learn the basics of knowledge graphs.

"The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base...." > Interface to Query and Visualise Definitions from a Knowledge Base @anelia12430996 & Hélène De Ribaupierre https://t.co/QGSJSEq4Ab pic.twitter.com/EIhZRVikK0— Aaron Bradley (@aaranged) March 15, 2021

Need to link #KnowledgeGraphs? Our article on the #OpenSource link discovery framework LIMES (https://t.co/zSp8nSaDNG) is now available at https://t.co/Fy2JMNRKQE. With LIMES, we support #OpenScience on the integration of knowlege graphs @MAhmedSherif @kvndrsslr @mommi84— Axel Ngonga (@NgongaAxel) March 18, 2021

NetVec: A Scalable Hypergraph Embedding System https://t.co/CHaT76MA7T pic.twitter.com/ZVChTtb0zH— Aaron Bradley (@aaranged) March 18, 2021

This demo allows hands-on experience on Knowledge Graph databases by executing SPARQL queries side-by-side with their SQL counterparts.

What is Semantic SEO? SEO is becoming more Semantic, and it's worth looking at how it is moving in that direction with knowledge panels, question-answering, and related entities

Abstract

Qatalyst quantum accelerator software is in the cloud, ready-to-solve your complex constrained optimization problems, right now.

In this post, we would like to present our recent contribution in knowledge graphs embedding (KGE) models which was accepted at the AAAI…

In recent years Knowledge Graphs have been used to solve one of the biggest problems not only in machine learning but also in computer…