University of Galway

Course Module Information

Course Modules

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
  1. explain the motivation for creating linked data standards
  2. explain how data can be modelled as a graph an how this differs from the relational data model
  3. use RDF and OWL to model graph data
  4. query a RDF data base using the Sparq query language
  5. build a linked data enabled application using best practices in Linked Data application design
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Teachers
Reading List
  1. "Linked Data Management" by Andreas Harth,Katja Hose,Ralf Schenkel
    ISBN: 9781466582408.
    Publisher: CRC Press
  2. "Linked Data" by Tom Heath,Christian Bizer
    ISBN: 9781608454303.
    Publisher: Morgan & Claypool Publishers
The above information outlines module DER5101: "Linked Data" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.