Tag Archives: GraphDB

Live Online Training: Meet The Ontotext Experts

Live Online Training 4: Designing Semantic Technology Proof-of-Concept

You are confused about how Semantic Technology provides value to a business case? Not sure about the utility of a graph database? This live online training teaches you how to load, transform, query and link your data, and develop a small Proof-of-Concept to demonstrate the power of Semantic Technology and GraphDB for a specific use case.

Live Online Training: What is a Successful Semantic Technology Proof-of-Concept

Live Online Training 4: Designing Semantic Technology Proof-of-Concept

You are confused about how Semantic Technology provides value to a business case? Not sure about the utility of a graph database? This live online training teaches you how to load, transform, query and link your data, and develop a small Proof-of-Concept to demonstrate the power of Semantic Technology and GraphDB for a specific use case.

Live Online Training: What You Will Learn

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Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.

The New Cache on the Block: A Caching Strategy in GraphDB To Better Utilize Memory

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The ability to seamlessly integrate datasets and the speed at which this can be done are mission critical when it comes to working with big data. The new caching system of GraphDB is better, faster and smarter and solves the issues of the old caching strategy in GraphDB.

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.

What is GraphDB and how can it help you run a smart data-driven business?

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Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In this presentation we have unpacked GraphDB for you, using as little tech talk as possible. Read on and see what Ontotext’s semantic graph database has to do with pasta making.

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.

How the Self-Service Semantic Suite Is Helping a Linked Data MOOC

Introduction to Linked Data and the Semantic Web Online Course
An “Introduction to Linked Data & the Semantic Web” MOOC On Apr 11th the University of Southampton started a new MOOC called “Introduction to Linked Data and the Semantic Web”. The MOOC is free to attend, and certific

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
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