Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2021 to 2022
Canterbury
Spring 6 15 (7.5) checkmark-circle

Overview

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)

Details

Contact hours

Total contact hours: 33 hours
Private study hours: 117 hours
Total study hours: 150 hours

Method of assessment

Main assessment methods
2 hour unseen written examination (50%)
Information Representation, Ontology Design and Use (30%)
Automated Information Gathering and Inferencing (20%)

Reassessment methods
Like for like.

Indicative reading

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)

Learning outcomes

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

Notes

  1. Credit level 6. Higher level module usually taken in Stage 3 of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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