GraphNews

Presentation made at EMWCon Spring 2019

Knowledge graph data models show meaningful relationships between data, allowing knowledge and data assets to be understood by both humans and machines.

If the GLAM sector does not express its collections in linked data, it will not have a voice in the evolving forms of discovery and preservation being

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

Refinitiv ( Former Financial and Risk Business of Thomson Reuters) uses SHACL. Our Metadata Registry is entirely made from SHACL models. Additional shacl files to enforce conformance with our URI strategy, provenance standards and smaller data patterns etc.— Varitimou Natasa (@nvaritimou) April 1, 2019

An Introduction to #Ontology Engineering: Version 1.5 of the textbook now available online #knowledgegraph #datamodel #tutorial #data #tech #datascience h/t @aarranged

Very nice article highlighting recent proof that complete graphs can be decomposed into smaller multiple trees. twitter.com/QuantaMagazine…

commerce recommendations and financial risk management.

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Today I'd like to share an idea. It's a very simple idea. It's not fancy and it's certainly not new. In fact, I'm sure many of you have thought about it already. But if you haven't—and even if you have!—I hope you'll take a few minutes to enjoy it with me. Here's the idea: Every matrix corresponds to a graph. So simple! But we can get a lot of mileage out of it.To start, I'll be a little more precise: every matrix corresponds to a weighted bipartite graph. By "graph" I mean a collection of vertices (dots) and edges; by "bipartite" I mean that the dots come in two different types/colors; by ...

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Visualizations are key to communicating messages and taking complicated ideas and making them simpler to interpret.

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

type of CreativeWork: it is the domain of nine properties. Man

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

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.