DreamWorks picks Gremlin to weave digital marvels

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

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

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

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

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

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

#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.

A knowledge scientist is a person who builds bridges between #business requirements, questions, and #data. The goal is to document knowledge @juansequeda #AI #machinelearning #businessintelligence #analytics https://www.infoworld.com/article/3448577/who-should-be-responsible-for-your-data-the-knowledge-scientist.html

According to Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

As most of the global workforce goes remote in 2020, businesses and budgets are changing due to a decrease or increase in site traffic. Since this pandemic is new for marketers and organizations, there isn’t exactly a marketing blueprint but one channel is proven to outlast pandemics: Search Engine Optimization (SEO).

Big data combined with advances in data science approaches have provided a valuable opportunity for the pharma industry to uncover…