Introduction to a Web of Linked Data
Explore the linked data standards and principles that provide the foundation of the Semantic Web.
21 novembre 2016
12h
English
CC BY-NC-ND
Course description
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 module content alternates short videos and quizzes, as well as supplementary resources, to gradually progress through the different principles and standards.
Who is this course for?
Everyone with basic Web notions (e.g. browsers) and able to install software on their machine.
Course objectives
- Understand the principles of a Web of Linked Data
- Publish linked data with RDF standard
- Access data sources on the web with SPARQL query language
- Exchange and integrate RDF data with other data and format sources
Course outline
- Module 1: Principles of a Web of Linked Data
- Module 2: The RDF Data Model
- Module 3: SPARQL Query Language
- Module 4: Integration with Other Data Formats and Sources
Pedagogical team
Authors:
- Fabien GANDON: Senior Researcher, Inria
- Olivier CORBY: Ph.D in computer science, UNS
- Catherine FARON ZUCKER: Lecturer, Université Côte d'Azur.
Pedagogical support
- Marie-Hélène COMTE: Learning engineer, Inria Learning Lab
- Aurélie LAGARRIGUE: Learning engineer, Inria Learning Lab