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Web of Data
Coursera
Course
Unknown

Web of Data

28DIGITAL

Introduces Linked Data standards and principles underlying the Semantic Web, teaching how to publish and use structured data from the Web.

Unknown4 weeksEnglish7,812 enrolled

About this Course

This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur, and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web. Learning the principles, languages, and standards to exchange data on the Web will enable you to design and produce new applications, products, and services that leverage the volume and variety of data the Web holds. We divided this course into four parts that cover the core technical skills and competencies you need to master to be able to use the Web as a space for giant structure data exchange: • in the first part, “Principals of a Web of Linked Data”: you will learn and practice the principles to publish and obtain data directly on the Web instead of Web pages; • in the second part, “The RDF Data Model”: you will learn the standard data model for the Web and its syntaxes to publish and link data on the Web in your applications and services; • in the third part, “SPARQL Query Language”: you will learn how to directly query and access data sources on the Web and obtain structured data relevant to your activity and domain; • in the fourth and final part, “Integration of other Data Formats and Sources”: you will learn how the Web standards interact and interoperate with other data formats to allow the integration of a variety of data sources. Each week alternates short videos and quizzes, as well as supplementary resources and forums to gradually progress through the different principles and standards. After following this course successfully, you will have the skills to obtain focused and structured datasets from the Web that you can then use to augment your own datasets, enrich their dimensions, feed your applications, perform data mining, machine learning, and training, data analysis, AI processing and reasoning and other data management

What You'll Learn

  • Learn to publish and use Linked Data on the Web
  • Use structured data directly from the Web
  • Understand principles of Linked Data and RDF model
  • Develop applications leveraging data exchange
  • Practice principles of data publishing and retrieval

Prerequisites

  • Basic knowledge of computers and web tools
  • Ability to install and run software

Instructors

C

Catherine Faron Zucker

Associate Professor

F

Fabien Gandon

Research Director, Professor

O

Olivier Corby

Researcher

Topics

Data Analysis
Data Science
Mobile and Web Development
Computer Science
Data Integration
Data Management
Data Sharing
Web Services
Interoperability
Extensible Markup Language (XML)

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
تطوير الجوال والويب
علوم الحاسب
دمج البيانات
إدارة البيانات
مشاركة البيانات
خدمات الويب
Interoperability
Extensible Markup Language (XML)

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