Linked Data Fragments: Querying multiple Linked Data sources on the Web
The dream of Linked Data: if we just get our data online, the promised Semantic Web will eventually rise. Everybody will be able to query our data with minimal effort. We will be able to integrate data from multiple sources on the fly. Everything will just work and data will flow freely ever after.
Well, that hasn't really happen yet.
Even though we published billions of triples on the Web, there are few places that reliably let us execute queries over them. Integration is still very limited. When will our efforts ever pay off?
This webinar introduces you to the Linked Data Fragments family of technologies, which take a much more pragmatic view on the Web of Data. Whereas one of the main problems with the Semantic Web is currently the high publication cost of data (with unknown return), Linked Data Fragments proposes to shift the complexity of querying from the server to the client. This makes publishing Linked Data affordable, and realistic on the Web.
You might have heard about Linked Data Fragments already, or you might just be curious about scalable Linked Data publishing or querying on the Web. This webinar by Ruben Verborgh, creator and lead researcher of Linked Data fragments, is the perfect introduction to understand the important principles and vast potential of what this technology has to offer.
In this webinar, you'll see:
-what Linked Data Fragments is and what it means for you
-how to execute queries over multiple Linked Data sources live on the Web
-how to publish your Linked Data at low cost, so others can query it
Ruben Verborgh is a researcher in semantic hypermedia at Ghent University – iMinds, Belgium and a postdoctoral fellow of the Research Foundation Flanders. He explores the connection between Semantic Web technologies and the Web's architectural properties, with the ultimate goal of building more intelligent clients. Along the way, he became fascinated by Linked Data, REST/hypermedia, Web APIs, and related technologies. He's a co-author of two books on Linked Data, and has contributed to more than 140 publications on Web-related topics for international conferences and journals.