Among its many evolutions, the Web became a way to exchange data between applications. Everyday we consume and produce these data through a growing variety of applications running on a growing variety of devices. This major evolution of the Web has applications in all domains of activity.
This MOOC introduces the Linked Data standards and principles that provide the foundation of the Semantic web. We divided this introduction into four parts:
the fundamental principles of linked data on the Web
the RDF recommendation that provides a standard data model and syntaxes to publish and link data on the Web
an overview of the SPARQL query language that allows us to access data sources on the Web
the standards supporting the exchange and integration of RDF data with other formats and data sources (R2RML, CSVW, JSON-LD, RDFa, GRDDL, LDP).
Each week alternates short videos and quizzes, as well as supplementary resources, to gradually progress through the different principles and standards.
Week 1 : Principles of a Web of Linked Data
Week 2 : The RDF Data Model
Week 3 : SPARQL Query Language
Week 4 : Integration with Other Data Formats and Sources
Fabien GANDON is a Research Director at INRIA and responsible for the Wimmics team (UCA, INRIA, CNRS, I3S) studying models and algorithms to reconcile the social Web and the Semantic Web. He is also the representative of INRIA at international standardization consortium for the Web (W3C).
Olivier CORBY has a doctorate in computer science (UNS). He is a senior researcher at INRIA in the Wimmics team (UCA, INRIA, CNRS, I3S) and teaches at Polytech Nice. He is interested in knowledge representation based on graphs and the Semantic Web. He is the designer of the Coresesoftware.
CATHERINE FARON ZUCKER
Catherine FARON ZUCKER is a lecturer at the University of Nice Sophia Antipolis, responsible for Web Science curriculum of the Polytech Nice Sophia engineering school and of the second year of the Master of Computer science of the university. She is also the vice-leader of the Wimmics team (UCA, INRIA, CNRS, I3S).
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