The module is intended as an introduction to the theory and applications of graph databases using the Semantic Web as the primary application example. The module starts by introducing the main types of noSQL databases, giving some indicative examples and explaining the main differences with relational databases. It then focuses on graph databases. It introduces the graph data model and, using an example of a graph database management system, it studies how graph data can be stored, queried and managed. The second part of the module studies RDF databases, a particular type of graph databases that form the backbone of the Semantic Web and the Linked Data Cloud. It also covers other technologies of the Semantic Web such as ontology languages (OWL) and query languages for RDF (SPARQL). The module ends with some examples of applications of graph databases and semantic technologies for Arts & Humanities as well as for other domains.
Learning outcomes: upon completion of the module, students will be able to:
- describe the main characteristics and give examples of different types of noSQL databases
- compare and contrast relational and graph databases
- create, manage and query simple graph and RDF databases
- develop small/medium-scale ontologies using the ontology languages of the Semantic Web
Assessment: assessment by coursework only
Core module for: none
Optional for: MA Archives and Records Management, MA Library and Information Studies, MA Publishing, MSc Information Science, MA/MSc Digital Humanities, MA in Electronic Communication & Publishing, MRes in Library, Archive & Information Studies.
Prerequsites: There are no formal prerequisites for this module
Taught by: Antonis Bikakis