Finally!! After a couple of years of writing, and building on a decade of research and practice, our book "Designing and Building Enterprise Knowledge ...

Not all information needs to be seen at first sight. Child drawings allow you to expand a parent node and see more elements. See the #graph at the level...

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

Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction https://t.co/zwBLmn1FtH pic.twitter.com/U9bJEw4qLv— Aaron Bradley (@aaranged) July 27, 2021

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

And how much can a simple schema do for you?

Learn how to visualize family trees and work with live data using Memgraph and Cypher

Knowledge Graph embedding provides a versatile technique for representing knowledge. These techniques can be used in a variety of applications such as completion of knowledge graph to predict...

In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particular assertion, because is in fact comes with its own rabbit hole quite apart from that associated with names and naming.

Zero-shot Visual Question Answering using Knowledge Graph https://t.co/R9VNiLFdZE pic.twitter.com/8TbY3lkgGu— Aaron Bradley (@aaranged) July 13, 2021

Similar Cases Recommendation using Legal Knowledge Graphs https://t.co/I9lTyMwsMF (yet another cc: for you @EmekaOkoye :) pic.twitter.com/Sqrm5uGhFF— Aaron Bradley (@aaranged) July 13, 2021

Learn about a Google patent that enables searchers to explore connections between related entities in different types of media.

Visual Question Answering (VQA) is concerned with answering free-form questions about an image. Since it requires a deep semantic and linguistic understanding of the question and the ability to...

How MUM helped improve access to high-quality COVID-19 vaccine information worldwide.

We wanted to see if the sensor data can be brought together through the Node Red low-code/no-code framework to feed the data into RDFox, an in-memory triplestore and then data summaries periodically pushed to a central, larger triplestore.

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

Here is my new article about best practices in designing object type libraries #RDF #ontology #linkeddata #OTL #BIM... 11 comments on LinkedIn

Geometric Deep Learning on Molecular Representations Atz et al.: https://lnkd.in/dEeydSb #ChemicalPhysics #ArtificialIntelligence #Biomolecules...

David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.

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

A hands-on overview with a real world dataset

I wrote on this topic way back in 2016, but when a recent reader indicated that the original article didn't have images anymore (it happens), it seemed like a good opportunity to write about it again. I am Kurt Cagle, or, according to my birth certificate, Kurt Alan Cagle.

The increasing digitalization of the manufacturing domain requires adequate knowledge modeling to capture relevant information. Ontologies and Knowledge Graphs provide means to model and relate a...