This module is not currently running in 2024 to 2025.
Indicative 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)
Total contact hours: 33 hours
Private study hours: 117 hours
Total study hours: 150 hours
Main assessment methods
2 courseworks (20 hours total) (50%)
2 hour unseen exam (50%)
Reassessment methods
Like for like.
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.
See the library reading list for this module (Canterbury)
See the library reading list for this module (Medway)
8. The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
8.1 Demonstrate a systematic understanding of what the Semantic Web is and how it facilitates use of and reasoning about web resources
8.2 Make effective use of metadata and inferencing
8.3 Deploy ontologies for classification and organisation of knowledge
8.4 Have developed a critical awareness of current research directions in the field of Semantic Web technologies
8.5 Have developed a critical awareness of state-of-the-art techniques for automated information gathering
8.6 Have gained a conceptual understanding of privacy and trust issues relating to the use of Semantic Web data
9. The intended generic learning outcomes.
On successfully completing the module students will be able to:
9.1 Make effective use of general IT facilities
9.2 Make effective use of internet-based information retrieval
9.3 Communicate technical issues clearly in a written format
9.4 Manage their own learning and development, including time management and organisational skills
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