Course 5: Building Linked Data Applications
This learning pathway describes how a Linked Data application is built.
You can study the materials of this learning pathway at your own pace, as there is no predetermined start or end date.
1. Learning outcomes
By the end of this learning pathway you should have an understanding of:
- Examples of Linked Data applications and how they can be used.
- Different architectural patterns that can be used to build a Linked Data application.
- How development frameworks can be used to implement a Linked Data application.
- How Web APIs can be used to access data from, or for use in, a Linked Data application.
2. Characterization and Architecture of Linked Data Applications
Learn about the different classifications amd architectures of Linked Data applications.
3. Linked Data Application Development Frameworks
Learn about various Linked Data Application Development Frameworks, such as the Information Workbench.
4. Test your knowledge
How much have you learned from this learning pathway? Test your knowledge by completing the following exercise.
5. Further reading
If you are interested in more learning materials and resources about building Linked Data applications, here are some suggestions that are relevant to this particular pathway:
 Hausenblas, M. (2009). Linked Data Applications. Technical Report, DERI, Galway.
 Martin, M. and Auer, S. (2010). Categorisation of Semantic Web Applications. International Conference on Advances in Semantic Processing (SEMAPRO 2010), Florence, Italy.
 Williams A., Harland L., Groth P. et al. (2012). Open PHACTS: Semantic interoperability for drug discovery. Drug Discovery Today, 17 (21-22), 1188-1198.
 Richardson, L. and Ruby, S. (2007). RESTful Web Services O'Reilly.