Course co-ordinator(s): Prof Albert Burger (Edinburgh), Assoc Prof. Hadj Batatia (Dubai), Radu-Casian Mihailescu (Dubai), Dr Timothy Yap (Malaysia).
Aims:
- Review principle abstractions, methods and techniques for the management of large and complex data sets (“Big Data”).
- Develop an understanding of the foundations and tools of the Semantic Web.
- Enable students to appreciate critically a range of data integration solutions.
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: Academic knowledge of fundamentals of databases and logic..
Location: Dubai, Edinburgh, Malaysia.
Semester: 2.
Syllabus:
Complex data sets:
RDF, triple stores, SPARQL, Big Data vs Smart Data vs Broad Data, NoSQL, indexing data.
Semantic Web Foundations:
RDFS, OWL, Ontologies, Reasoning, Protégé.
Data Integration:
Linked Data, Mash-ups, Ontology mapping, Data Provenance.
SCQF Level: 10.
Credits: 15.