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Skip to 0 minutes and 6 secondsELENA SIMPERL: So far in the course, we have introduced you to linked data, to the core technology stack, to the fundamental principles. Then we went on to give you an overview of RDF and RDFS, and then finally SPARQL, which was the subject of last week's course. SPARQL is the query language for accessing and interacting with linked data sets. And last week, you have seen it applied to the Music domain, using the MusicBrainz data sets. And you have learned how to ask basic queries, in particular SELECT queries. This week, we are continuing with SPARQL.

Skip to 0 minutes and 44 secondsWe are going to introduce you to more advanced features, in particular, to new types of queries such as DESCRIBE and CONSTRUCT and to a whole new range of query features, which will allow you to write even more richer queries and to fully exploit what linked data can give you. There are a number of topics that are very important to publish and consume linked data and to build applications on top of what we call the Web of Data. So so far you have been given an introduction and you have learned about SPARQL, which is a fundamental technology for developers to interact with linked data sets.

Skip to 1 minute and 25 secondsMoving on, I think it will be useful, perhaps, to have a look at how to publish data as linked data on the Web. So to really understand, for instance, technologies that allow you to lift linked data, RDF data, from existing data sets such as relational databases. Or to learn about methods and algorithms to link data sets with each other.

Welcome to week 3

In this short video, Dr Elena Simperl introduces you to the content of week three of the course.

Building on what has been covered in the previous week, you will learn more advanced types of SPARQL queries, such as DESCRIBE and CONSTRUCT. These graph oriented queries will allow you to further exploit Linked Data by actions such as recombining the resources available to form new RDF graphs.

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Introduction to Linked Data and the Semantic Web

University of Southampton

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