Tag Archives: RDF

Datathon Case Overview: Revealing Hidden Links Through Open Data

For the first Datathon in Central and Eastern Europe, the Data Science Society team and the partner companies provided various business cases in the field of data science, offering challenges to the participants who set out to solve them in less than 48 hours. At the end of the event, there were 16 teams presenting their results after a weekend of work.

Working with Data Just Got Easier: Converting Tabular Data into RDF Within GraphDB

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OntoRefine is a new addition to GraphDB that allows you to do many ETL (extract, transform and load) tasks over tabular data via an intuitive user interface. It makes the process of filtering and editing inconsistent data easy and frictionless.

GraphDB: Answers for Kids of All Ages

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Kids of all ages have two things in common: they all tend to make clutter and mess and they all would love to have the clutter and mess cleared up for them. And while younger kids often times have their mommies and daddies clean the mess, grown up kids prefer to use tools. GraphDB is one such tool: it is a tool for cleaning up messes of data.

Cooking Up the Semantic Web

How is the Semantic Web vision unfolding and what does it take for the Web to fully reach its potential and evolve from a Web of Documents to a Web of Data through universal data representation standards.

A Web of People and Machines: W3C Semantic Web Standards

Weaving the web

How and why Semantic Web Standards are to serve the Web of Data for better collaboration between people through computers. The technology standards of the Semantic Web enable more and more enterprises, application builders and information retrieval systems to handle data in cost-effective and agile manner.

Choosing the Right Graph Database for Your Project

Back in February we had a webinar on the topic of “Choosing the right graph database for your project”. The purpose of the webinar was to: Outline typical advantages of graph databases (and semantic graph databases in par

Why Graph Databases Make a Better Home for Interconnected Data Than the Relational Databases?

With the advancements in computing technologies and the increasing processing power of machines, the necessity to shoehorn data into predefined structures is being gradually replaced by the ability to build models that can accommo

Updated Pricing Plans for the Self-Service Semantic Suite

Transparent Pricing
The Self-Service Semantic Suite The Self-Service Semantic Suite (S4) by Ontotext provides a platform for on-demand Smart Data management. With S4 developers get instant access to services for text analytics, knowledge graphs and

A Bigger Free Tier for Our Semantic Graph Database-as-a-Service

Instantly deploy a database-as-a-service in the Cloud
Faster Smart Data Prototyping with the Self-Service Semantic Suite (S4) We are happy to announce that since Dec 1st we’ve increased the free tier for the semantic graph database-as-a-service (DBaaS) to 10 million triples! All

S4 Presented at the NYC Semantic Web Meetup

The NYC Semantic Web Meetup Last week the NYC Semantic Web Meetup took place at the Google Research offices in NYC. This is one of the biggest Semantic Web related meetups, with more than 1,700 members. Last meetup was organized
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