COMP5200 Further Object-Oriented Programming
OverviewIndicative topics include:
• Resource Description Framework (RDF) & RDF Schema:
• Information representation and knowledge exchange on the web
o Applications of RDF
• RDF Query and Inference Languages (e.g. SPARQL etc.)
• Web Ontology Language (OWL):
o Publishing and sharing of ontologies
• Knowledge management, asset management, enterprise integration
o Automated agents
• Existing Shared Ontologies (e.g. FOAF, DC, SKOS etc.)
• Metadata and Provenance
• The Wider Picture:
o Data trust and proof issues
o Computer law and professional issues
• The future of the Web (these lists are not exhaustive):
o Web 3.0: the Semantic Web; cognitive architecture; automated reasoning; distributed computing; composite applications; semantic wikis etc.
• Aim to give students the tools to critically evaluate the Semantic Web (and alternative proposals)
This module appears in:
Total contact hours: 33 hours
Private study hours: 117 hours
Total study hours: 150 hours
Method of assessment
2 hour unseen written examination (50%)
Information Representation, Ontology Design and Use (30%)
Automated Information Gathering and Inferencing (20%)
11. Reading list (Indicative list, current at time of publication. Reading lists will be published annually)
Allemang, Dean & Hendler, Jim. (2011). Semantic Web for the Working Ontologist. 2nd ed, Morgan Kaufmann.
Antoniou, Grigoris. & van Harmelen, Frank. (2012). A Semantic Web Primer, 3rd edn, MIT Press
DuCharme, Bob (2013). Learning SPARQL, 2nd edn. O'Reilly.
Heath, Tom & Bizer, Christian. (printed book 2011, e-book updated regularly at http://linkeddatabook.com/book) Linked Data: Evolving the Web into a Global Data Space. Morgan Claypool.
Hitzler, Pascal et al. (2010). Foundations of Semantic Web technologies. CRC Press.
On successfully completing the module students will be able to:
Demonstrate a systematic understanding of what the Semantic Web is and how it facilitates use of and reasoning about web resources
Make effective use of metadata and inferencing
Deploy ontologies for classification and organisation of knowledge
Have developed a critical awareness of current research directions in the field of Semantic Web technologies
Have developed a critical awareness of state-of-the-art techniques for automated information gathering
Have gained a conceptual understanding of privacy and trust issues relating to the use of Semantic Web data