GraphNews

at Build 2017. Azure Cosmos DB was designed t be a superset of Microsoft's existing NoSQL Document DB database. Its codename was "Project Florence," and Microsoft execs consider it a "born in the cloud/cloud native" database that's designed to be scalable and usable by customers of any size.Microsoft currently charges by provisioned throughput and consumed storage by the hour for Azure Cosmos DB. Before the introduction of the free tier, M

#Microsoft Project Cortex Builds A Custom #KnowledgeGraph for Your Company. Service brings #AI to the vast quantities of #data companies store within #Microsoft365. Unlocks knowledge stored about a topic/client/project inside of documents, surfaces them

k #datascience #covid19 #predictivemodel

#NLP is now good enough that we can measure how well systems reads text in terms of extracted knowledge: Knowledge Base Population @diffbot released KnowledgeNet reproducible #dataset to measure this, w #opensource state-of-the-art baseline #research #AI

How "talking semantics" can help you perform better #DataScience. @palexop #StrataData talk in New York slides now available #dataModeling #semantics

A blueprint for the next @apachetinkerpop and an analysis on #opensource. @twarko @_mmadt #presentation from @DataDayTexas #GraphDB #data #tech #cloud #insight #softwareengineering #softwaredevelopment #AWS

The first public presentation of mm-ADT at ApacheCon 2019 in Las Vegas, Nevada.

some TypeScript type system features, such as discriminated type unions, powerful type inference, nullability checking, and type intersections, present an opportunity to both model what Schema.org-conformant JSON-LD looks like, while also providing ergonomic completions to the developer

Recently, I published schema-dts ( npm , GitHub ), an open source library that models JSON-LD Schema.org in TypeScript. A big reason I wanted to do this…

Today there are also strong user stories in the contexts of investigative work flows based on sets of suspects in graph-based analysis of crime, intelligence, fraud, churn, recommendations and other behavior / networking analytical areas.

Google applied the PageRank algorithm to rank pages to prioritize search results. The algorithm is applicable to networks in other domains, for example, interest rate swap transaction networks in banking, real estate transaction networks, and social networks to find the most influential members of t

When we used to think about data, it was most often in regard to where data was going to be stored and how we would manage it. Yes, files worked for a while, but when manipulating data became an important business priority across industries, the “file” solution didn’t work so well anymore. To meet these increasing demands, applications were designed and developed, addressing data storage and manipulation needs simultaneously — thus, the “database” was born. Today, data is viewed quite differently. Beyond data manipulation, organizations are focusing on mining their data for more visibility into and a deeper understanding of the intelligence within that data. Utilizing the insights acquired from their data to help make informed business decisions is a key priority for business leaders and a major concern in the development, evolution, and adoption of database solutions. A new term emerged in the industry — digital assets. That data the world has been obsessing over.

prem or both. The discovery and integration layer in the fabric integrates and blends data, drawing on subsets of data from across the underlying data landscape as required.

"How Representative is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks" has been accepted as full paper to #www2019 #webconf2019. @DiceResearch @akswgroup @NgongaAxel— Muhammad Saleem (@saleem_muhamad) January 21, 2019

Understanding food recipe requires anticipating the implicit causal effects

Graph #Visualisation w @TerminusDB #opensource #GraphDB: Bike Share #Data #tutorial #softwaredevelopment

While the term “Knowledge Graph” is relatively new (Google 2012) the concept of “representing knowledge as a set of relations between entities - forming a “graph” has been around for much longer. 2019 marks, for example, the 20th anniversary of the publication of arguably the first open standard for

Taxonomies, dogs, and knowledge graphs. Naming the Edges Blog Part 1 Post from @taxobob

Collaboration of people and machines is a major aspect of the World Wide Web and as well of the Semantic Web. As a result of the collaboration process, structural and content interferences as wel…

Using libgraph for graph data structures

A computer virus exploits the operating

Ontologies and #Semantic #Annotation. Part 1: What is an #Ontology? https://t.co/Crvkko76SD——————#BigData #MachineLearning #AI #DataScience #SmartData #DataLabeling #KnowledgeGraphs #LinkedData #RDF #abdsc ——————➕See my webinar on this topic: https://t.co/zoSuUBQGMY pic.twitter.com/vn2XCVwAMW— Kirk Borne (@KirkDBorne) January 22, 2020

Discover what's new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by graph database maker Neo4j.

(Image sourced via Neo4j’s Twitter)I last met Emil Eifrem, the highly energetic and persuasive founder and leader of graph database and software tools firm Neo4j for diginomica back in May 2017. As he was quick to point out in our latest meeting, a lot’s changed for his company and the market he’s tried to so hard to dominate.

Neo4j's Educator Program offers Graph Data Modeling course slides, tutorials, and community support.

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.