Want to Master Your Data? Here’s Why You Should Care About Metadata
towardsdatascience.com Some people might be overwhelmed by the various statistical representations we can extract from a dataset. Others might as well ignore that additional information thinking it is useless. It’s true th…
HOBBIT aims at abolishing the barriers in the adoption and deployment of Big Linked Data by European companies, by means of open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. These benchmarks are based on data that reflects reality and measures industry-relevant Key Performance Indicators (KPIs) with comparable results using standardized hardware.
Decentralizing the Semantic Web through incentivized collaboration
Personal data is being centralized at an unprecedented scale, and this comes with widely known and far-reaching consequences, considering the recent data scandals with companies such as Equifax and Facebook. Decentralizing personal data storage allows people to take back control of their data, and Semantic Web technologies can facilitate data integration at runtime…
What is the difference between a Knowledge Graph and a Graph Database? | SkillsCast
Connected Data London community cast. Michael Grove: Knowledge Graphs and Graph Databases have reached unprecedented levels of interest thanks to the efforts...
GDPR: 4 letters, an acronym being a nightmare for many companies. For the first time companies are really required to manage their data storage, workflows, security processes and processing. This session is about how graph database can support a GDPR compliance assessment.
Community detection based on Jaccard similarity index with Neo4j
Recently similarity algorithms were introduced in Neo4j graph algorithms library, so I decided to show how easy it has become to infer a graph using Jaccard similarity and then run Community detect…
At linked data-driven companies you will find it difficult to distinguish between “traditional” data workers and those in other functional areas who, at other companies, are less reliant on data.
Recently I decided to teach myself #React and #electron so I built out a IDE for running traversals and visualizing results for @apachetinkerpop enabled databases. If you want to try it out you can get it here: https://t.co/Yb6eaF6HKo #graphDB #graph— Dave Bechberger (@bechbd) August 23, 2018
Happening in March next year: the @w3c Workshop on Web Standardization for Graph Data.Mark your calendars and express your interest in participating!https://t.co/HbDEO3dxM4 https://t.co/PELY1dVkyT— Olaf Hartig (@olafhartig) October 15, 2018
The DBpedia Databus - Transforming Linked Data into a Networked Data Economy
The DBpedia Databus is a decentralized data publication and integration platform. Its mission is to provide global and unified access to knowledge. Read the interview on WordLift blog.
We're introducing new features that help you resume tasks where you left off, keep track of ideas and content that you found useful, and get relevant suggestions of things to explore next.
TigerGraph has brought forward a free Developer Edition of its graph analytics platform for lifetime non-commercial use. But, please, what is graph analytics? As defined nicely here by Hitachi ...
Noam Chomsky, the outspoken and prolific linguist, cognitive scientist, philosopher and social critic, is the subject of the first public Knowledge Graph,
SAN FRANCISCO, May 2, 2018 -- Neo4j, the leading platform for connected data, today announced Neo4j 3.4, which includes horizontal scaling, performance
Why 'Ontology' Will Be A Big Word In Your Company's Future
Your business has its own language. If you sell cars, then you need not only make, model and year, but also MSRP, leather bucket seats and dealer incentives. Media companies have producers and writers, actors and grips, distribution networks and video masters. Business Language
You may have also noticed the emergence of 360° initiatives, letting you see how all the data within your organization relates to other data, and that it should also be possible to dig deep into your data systems to power natural language chatbots, dashboards, data analytics, and more