FREE online course
Course Type
Online Learning
3 hours pw for 3 weeks
Various dates throughout the year
Entry Requirements
Open to all
Accredited by University of Southampton

About this course

Understand what Linked Data is

Linked Data, a term coined by Sir Tim Berners-Lee, is a way of publishing data online so it can be easily interlinked and managed using semantic queries. This helps the exposure and interlinking of datasets so that data can be exchanged, reused and integrated.

On this course you will learn the basics of Linked Data and the Semantic Web - exploring how this new Web of Data isn’t about creating a big collection of standalone datasets, but is instead about using a common format to ensure data is interrelated.

Explore why Linked Data is important

Through linking datasets, applications can vastly improve their user experience - thanks to having access to a wider range of knowledge.

Increasing numbers of organisations and initiatives are starting to appreciate the power of linked data. It provides significant power and potential to the growing domain of data science and web science.

Get practical experience of Linked Data

This course will introduce you to the knowledge and skills around using linked data – skills that are in increasing demand as the Web evolves from a Web of Documents to a Web of Data.

You will learn how you can use linked data technologies and more than that you’ll learn how to write queries in SPARQL, so you can use these technologies in your own work.

Learn from industry leaders

The Web and Internet Science Group at the University of Southampton is playing a leading role in the European Data Science Academy (EDSA) project. This course is one of a number being produced by the project, and aims to provide you with an introduction to linked data that you can use to prepare for further training opportunities.

(Course image: derivative work based on Businessman hand using mobile phone with digital layer effect as business strategy concept © everything possible/Shutterstock.)

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