GraphNews

step list of how to build a KG assembled by @TheodoraPetkova w/ the help of our #semantictechnology experts. hubs.ly/H0n5B970 #semantics #SPARQL #datamodelling #linkeddata

- Bill Baer, Senior Product Manager, Microsoft Search @williambaer Introducing Microsoft Search Today, we’re announcing general availability of Microsoft Search, an intelligent, enterprise search experience from Microsoft that applies the artificial intelligence technology (AI) from Bing and deep ...

#ISWC2019 Reproducibility Initiative aims to enable easy sharing of code &experimentation setups, make more code & data available, highlight impact & increase credibility of #SemanticWeb #research, facilitate dissemination @michaelcochez @FrankVanHarmele

Just as sad is what’s happening to web sites. 15 yrs ago we had data driven web sites that reflected what was in the corporate database about staff, students, research projects ... Today they’re run by comms and marketing. Can’t find any info linked or not— Wendy Hall (@DameWendyDBE) February 28, 2019

Graphs are a general-purpose #datamodel, as relational was a general-purpose #data model a generation ago. A supply chain is a graph. Knowledge is a graph. Graphs are very applicable in a wide range of use cases @jimwebber @TheRegister #GraphDB #tech [LINK]https://www.theregister.co.uk/2020/02/05/graph_database_neo4j_chief_scientist/ [LINK]https://regmedia.co.uk/2016/04/26/graph_database.jpg

An introduction to #ontologies: "What are Ontologies and why is one studying it?" @lysander07 h/t @nicolastorzec #knowledgegraph #semanticweb https://docs.google.com/presentation/d/e/2PACX-1vQH_7xI2pRVmffDstavO3j_TaR-1WdvBUAGYRxPXMF5FJpq6dxhdnqcW0D1B0PY2d4hSobcnD8kMN46/pub?slide=id.g701464a531d25fbb_0

What Are #KnowledgeGraphs (vs. Other Kinds of Knowledge Organization Systems)? Taxonomy (Thesaurus), Ontology, #LinkedData by @taxobob

defined meaning, better enabling computers and people to work in cooperation”. Since the publication of the paper the evolution of Semantic Web has moved its first steps with the representation of knowledge in forms of web standards. The following phase, more recently, is enabling a vast repertoire of applications with the emergence of machine learning methods, while maintaining the notion of knowledge with the aspects of graph: the Knowledge Graph (KG). 

About 13 years ago I decided to create a career in oncology - it was not a hard decision. I made that decision soon after starting a PhD in the Department of Bioinformatics at the MD Anderson Cancer Center (MDACC).

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…

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