-
Courses
Courses
Choosing a course is one of the most important decisions you'll ever make! View our courses and see what our students and lecturers have to say about the courses you are interested in at the links below.
-
University Life
University Life
Each year more than 4,000 choose University of Galway as their University of choice. Find out what life at University of Galway is all about here.
-
About University of Galway
About University of Galway
Since 1845, University of Galway has been sharing the highest quality teaching and research with Ireland and the world. Find out what makes our University so special – from our distinguished history to the latest news and campus developments.
-
Colleges & Schools
Colleges & Schools
University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching across a range of key areas of expertise.
-
Research & Innovation
Research & Innovation
University of Galway’s vibrant research community take on some of the most pressing challenges of our times.
-
Business & Industry
Guiding Breakthrough Research at University of Galway
We explore and facilitate commercial opportunities for the research community at University of Galway, as well as facilitating industry partnership.
-
Alumni & Friends
Alumni & Friends
There are 128,000 University of Galway alumni worldwide. Stay connected to your alumni community! Join our social networks and update your details online.
-
Community Engagement
Community Engagement
At University of Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Header & Footer
University of Galway
Course Module Information
Course Modules
DER5101: Linked Data
Semester 2 | Credits: 5
This module will teach fundamentals of Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. It will focus on designing linked data applications and students will learn how to design ontologies, produce linked data-sets, generate links between data-sets and explain the overall architecture of data integration systems based on Linked Data. It presents techniques for querying and managing Linked Data that is available on today’s Web. A large part of the module is devoted to query processing in different setups. The module will focus on managing large-scale collections of Linked Data. It will present methods to publish relational data as Linked Data and efficient centralised processing. It then addresses advanced topics, such as efficient reasoning, and query optimisation for large-scale linked data-sets.
(Language of instruction: English)
Learning Outcomes
- explain the motivation for creating linked data standards
- explain how data can be modelled as a graph an how this differs from the relational data model
- use RDF and OWL to model graph data
- query a RDF data base using the Sparq query language
- build a linked data enabled application using best practices in Linked Data application design
Assessments
- Written Assessment (60%)
- Continuous Assessment (40%)
Teachers
- CONOR HAYES:
Research Profile |
Email
- John McCrae:
Research Profile |
Email
Reading List
- "Linked Data Management" by Andreas Harth,Katja Hose,Ralf Schenkel
ISBN: 9781466582408.
Publisher: CRC Press - "Linked Data" by Tom Heath,Christian Bizer
ISBN: 9781608454303.
Publisher: Morgan & Claypool Publishers
Note: Module offerings and details may be subject to change.