GraphNews

Don’t ask what #GraphQL can do for the #SemanticWeb; ask what the SW can do for GraphQL, says @szymonklarman Perspective dominating analyses so far has been considering GraphQL an interface for #linkeddata. That's valid, but there's another way #research

Practical applications of Natural Language Processing (NLP) have gotten significantly cheaper, faster, and easier due to the transfer learning capabilities enabled by pre-trained language models. Transfer learning enables engineers to pre-train an NLP model on one large dataset and then quickly fine-tune the model to adapt to other NLP tasks. This new approach enables NLP […]

At Madgex, we power job board technology for over 200 brands all around the world, and that number is growing all the time. With our scale and reach, we have a lot of data at our fingertips, so we evolved our Data Science team to look at Machine Learning and Knowledge Graph models to enhance the experience for users of our platform. We started by looking at jobs, and asking the basic question... when we talk about a ‘job’ what exactly do we mean?

What exactly is a #KnowledgeGraph: Using #Semantic Enrichment to connect the dots. A safe, simple definition of a knowledge graph that @SciBite uses is "a semantic graph that integrates information into an ontology" #dataviz Nodes=circles edges=arrows #AI

Making sense of data using AI is becoming crucial to our daily lives. Here is what we learned while using knowledge graphs and ML for SEO.

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.

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s thanks to a knowledge graph. But what exactly is a knowledge graph? Well, there’s actually some debate on what the best […]

Read latest news about Reltio Connected Customer 360. Connected customer data at the heart of customer experience.

datacommons.org isn’t a single thing, but rather a collection of #data & tools. These comprise a #knowledgegraph linking data from a number of open sources, supporting schemas, API to access data in the graph, graph browser, fact-check dataset @aaranged

Deep Learning 🤖 on graphs and in 3D

If you are already familiar with the graph database concept, then you know that a graph consists of vertices (or nodes) connected via edges.

Why are data efforts still starting with field sizes in rows and columns?

Recent successes in training word embeddings for NLP tasks have encouraged a

OrientDB v 3.1 includes Materialized Views as a new feature.

Learn all about Neo4j's new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with Google Cloud Platform.

The good, the bad and the weird

Contrary to some other data models, RDF is not bound by a single serialization format. Triple statements (the data atoms of RDF) can be serialized in many ways, which leaves developers with a possibly tough decision: how should I serialize my linked data?

A hunger inducing dataset

If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science. Henri…

1. Welcome to ServerlessToronto.org

a totally different way to see data, with endless possibilities!

#Neo4j #GraphDB has added sharding @adamcowley shows when and how to use it #softwareengineering #data #tech #opensource #tutorial [LINK]https://adamcowley.co.uk/neo4j/sharding-neo4j-4.0/ [LINK]https://neo4j.com/docs/operations-manual/4.0-preview/images/fabric-single-instance.png

By treating reifications, assertions about assertions, as first-class objects in the Semantic Web, the idea of interchange between property and semantic graphs and the ability to work with graphs using a much broader set of tools opens up.

Automatic radiology report generation has been an attracting research problem

DBpedi

We’ve been asked to comment on the applicability of Knowledge Graphs and Semantic Technology in service of a couple of common use cases. We will draw on our own experience with client projects as well as some examples we have come to from networking with our peers.

And how Graph Theory can prove itContinue reading on Towards Data Science »

The Linked Data ecosystem and RDF as its graph data model have been around for many years already. Even though there is an increasing interest in knowledge graphs, many developers...