Description
This module is intended as an introduction to the theory and applications of graph databases and knowledge graphs. 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 presents the property graph data model and, using a graph database management system, it studies how graph data can be stored, queried and managed. The second part of the module studies RDF, a graph-based model for sharing information on the Web. It also covers other semantic technologies such as ontology languages (RDFS, OWL) and a query language for RDF (SPARQL). The module ends with some examples of applications of graph databases and semantic technologies for a range of 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 databases
- comprehend the main ideas and principles of the Semantic Web
- model web data using RDF
- query RDF data using SPARQL
- develop small/medium-scale ontologies using RDFS and OWL
- comprehend the range of applications of graph databases and semantic technologiesÌý
Optional for: MSc Knowledge, Information and Data Science, MA and MSc Digital Humanities, MA Archives and Records Management, MA Library and Information Studies, MA Publishing and 3rd year BSc in Information Management for Business students.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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