Introduction to Linked Data and the Semantic Web (FutureLearn)

Introduction to Linked Data and the Semantic Web (FutureLearn)

Learn the power of Linked Data, explore how it’s revolutionising the web and get to grips with it by writing queries in SPARQL. Linked Data, a term coined by Sir Tim Berners-Lee, is a way of publishing data online so it can be easily interlinked and managed using semantic queries. This helps the exposure and interlinking of datasets so that data can be exchanged, reused and integrated. On this course you will learn the basics of Linked Data and the Semantic Web - exploring how this new Web of Data isn’t about creating a big collection of standalone datasets, but is instead about using a common format to ensure data is interrelated.

Class Deals by MOOC List - Click here and see FutureLearn's Active Discounts, Deals, and Promo Codes.

Explore why Linked Data is important
Through linking datasets, applications can vastly improve their user experience - thanks to having access to a wider range of knowledge.
Increasing numbers of organisations and initiatives are starting to appreciate the power of Linked Data. It provides significant power and potential to the growing domain of data science and web science.

Get practical experience of Linked Data
This course will introduce you to the knowledge and skills around using Linked Data – skills that are in increasing demand as the Web evolves from a Web of Documents to a Web of Data.
You will learn how you can use Linked Data technologies and more than that you’ll learn how to write queries in SPARQL, so you can use these technologies in your own work.

Learn from industry leaders
The Web and Internet Science Group at the University of Southampton is playing a leading role in the European Data Science Academy (EDSA) project. This course is one of a number being produced by the project, and aims to provide you with an introduction to Linked Data that you can use to prepare for further training opportunities.

Requirements:
This course is intended for those who already have some experience of web development or data science.
The course is aimed at those who wish to further their understanding about Web-technologies, data and how Linked Data is becoming more important as the Web moves from the Web of Documents to the Web of Data.
It’s also intended for anyone wanting to gain a basic understanding of Linked Data, before seeking out further study opportunities, or as part of their existing training. It will appeal to many computer science, web science, or data science graduates, students and practitioners wishing to expand their knowledge.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

The Cyber Security Landscape (FutureLearn) FutureLearn
Coventry University

The Cyber Security Landscape (FutureLearn)

Understand cyber security today: explore threats and the key functions of cyber security within a commercial organisation. Develop your knowledge of cyber security in today’s world. Cyber attacks have major implications for individuals, governments and businesses. No one can afford to be complacent about cyber security. This course introduces some of the most significant issues, challenges and opportunities shaping today’s global cyber security landscape.

Jun 3rd 2024
2 Weeks
Introduction to Aviation and Big Data Applications (FutureLearn) FutureLearn
HKU School of Professional and Continuing Education

Introduction to Aviation and Big Data Applications (FutureLearn)

Learn how to harness big data applications to drive digital transformation and automation in the aviation industry. Delve into big data with HKU SPACE. Big data has the power to enhance operations and boost profitability in almost every sector. When it comes to the aviation industry, data applications can help with pricing, security checks, and aircraft maintenance.

Jun 19th 2023
4 Weeks
Knowledge Graphs - Foundations and Applications (openHPI) OpenHPI
Hasso-Plattner-Institut

Knowledge Graphs - Foundations and Applications (openHPI)

Even though it affects our lives every single day, most of us have no idea what a knowledge graph is. Asking Alexa about the weather tomorrow or searching for the latest news on climate change via Google, knowledge graphs constitute the backbone of today’s state-of-the-art information systems. From improving search results over question answering and recommender systems up to explainable AI systems, the applications of knowledge graphs are manyfold. Overall, the goal of this course is to provide a broad overview of knowledge graphs and their underlying technologies as well as their significance in today's digital world.

Oct 11th 2023
5-12 Weeks
Web of Data (Coursera) Coursera
EIT Digital

Web of Data (Coursera)

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.

Jun 8th 2026
4 Weeks
Introduction to a Web of Linked Data (FUN) FUN
INRIA

Introduction to a Web of Linked Data (FUN)

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.

Feb 4th 2019
4 Weeks
Knowledge Engineering with Semantic Web Technologies (openHPI) OpenHPI
Hasso-Plattner-Institut

Knowledge Engineering with Semantic Web Technologies (openHPI)

The knowledge contained in the World Wide Web is available in interlinked documents written in natural language. To make use of this knowledge, technologies such as natural language processing, information retrieval, data and knowledge mining must be applied. Semantic Web technologies follow an alternative approach by complementing web documents with explicit semantics based on formal knowledge representations, such as e.g. ontologies. In this course, you will learn the fundamentals of Semantic Web technologies and how they are applied for knowledge representation in the World Wide Web. You will learn how to represent knowledge with ontologies and how to access and benefit from semantic data on the Web. Furthermore, you will also learn how to make use of Linked Data and the Web of Data, currently the most popular applications based on Semantic Web technologies.

Self Paced
Self-Paced
Data Visualisation: Creating Charts and Complex Visualisations in Tableau (FutureLearn) FutureLearn
FutureLearn

Data Visualisation: Creating Charts and Complex Visualisations in Tableau (FutureLearn)

Learn the fundamentals of data visualisation and storytelling to boost your career options. Struggling to turn data insights into action within your organisation? Learn how to identify the right metrics to add to data dashboards and identify the most effective components to help you tell data stories through beautiful visualisations. This course will take you from theory into practice. You’ll build the skills you need to create interactive dashboards using Tableau.

May 23rd 2022
4 Weeks
Internet of Things for Active Aging (FutureLearn) FutureLearn
Taipei Medical University

Internet of Things for Active Aging (FutureLearn)

Learn about how the Internet of Things can help people aging well with this free online course. The Internet of Things (IoT) includes many new digital health technologies, from apps to wearable devices to home sensors - devices that are expected to revolutionize healthcare in the near future. But when will they become truly useful and usable for those with the most at stake: older adults with multiple medical problems? This is just one of the questions we will tackle on this course.

Apr 4th 2022
4 Weeks
How to Plan a Hackathon: Hacking the Challenges of Digital Education (FutureLearn) FutureLearn
EIT Climate-KIC

How to Plan a Hackathon: Hacking the Challenges of Digital Education (FutureLearn)

Explore how to plan and organise a non-technical hackathon designed to drive community-sourced innovation in EdTech. Get expert tips on how to run a great hackathon. Hackathons are usually thought of as events where people come together to collaborate with computers. However, non-technical hackathons are becoming increasingly popular – where people gather to solve an organisational rather than a technical problem.

Dec 20th 2021
2 Weeks
Data Visualisation: Data Dashboards and Storytelling with Tableau (FutureLearn) FutureLearn
FutureLearn

Data Visualisation: Data Dashboards and Storytelling with Tableau (FutureLearn)

Learn the techniques that underpin predictive data analytics and understand the ethics behind them. Do you want to bring your predictive models to life and communicate with a diverse audience? Data visualisation is a great tool for predictive analysis and bringing statistical models to life within your organisation. You’ll learn how to use your data to make business predictions and get to grips with the ethical issues that can arise in the process. On this course, you’ll explore statistical techniques and the importance of testing and refining the models that you use for data analysis.

May 23rd 2022
4 Weeks
MedTech: Trends and Product Design (FutureLearn) FutureLearn
University of Leeds

MedTech: Trends and Product Design (FutureLearn)

Explore the product design process of MedTech devices and examine future trends in healthcare technology and the MedTech industry. Learn how innovative medical devices are designed, produced and regulated. Major advances in technology are driving innovation in healthcare. On this course, you will explore the global landscape of medical device trends by looking at the past, present, and future of medical technology development.

Sep 23rd 2024
2 Weeks