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.
Learn the power of Linked Data, explore how it’s revolutionizing the web and get to grips with it by writing queries in SPARQL with this free online course “Introduction to Linked Data and the Semantic Web“.
The Web and Internet Science Group at the University of Southampton in the UK 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.
Introduction to Linked Data – Course Content
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. The course includes the following topics:
- Explore why Linked Data is important
- Through linking datasets, applications can vastly improve their user experience;
- Linked Data provides significant power and potential to the growing domain of data science and web science;
- Get practical experience of Linked Data;
- How you can use Linked Data technologies;
- How to write queries in SPARQL, so you can use these technologies in your own work.
Summary of Main Course Features
- Educator: Elena Simperl
- Publisher: University of Southampton
- Duration: 3 weeks x 3 hours per week
- Starts: 11 April 2016
- Certificates available
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