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Home>Study Programmes>Master in Computer Science>Courses>SWT_09-10
COURSE PRESENTATION FORM - SEMANTIC WEB TECHNOLOGIES- 2009/2010


COURSE NAME: Semantic Web Technologies

COURSE CODE: 72010 (MSc New – DM 270) / 70175 (MSc Old – DM 509) / 70226 (BSc New)

LECTURER: Jos de Bruijn, Marijke Keet 

TEACHING ASSISTANT: Sergio Tessaris 

TEACHING LANGUAGE: English

CREDIT POINTS: 8 (new) - 4 (old)

LECTURE HOURS: 48

EXERCISE HOURS: 24

TIMESPAN: 28.09.2009 - 23.01.2010

TIMETABLE: see Timetable Page

OFFICE HOURS LECTURER: by appointment

OFFICE HOURS TEACHING ASSISTANT: Time to be determined


PREREQUISITES
-

OBJECTIVES
The aim of the course is to make the students familiar with the Semantic Web, with technologies used on the Semantic Web, and with applications using Semantic Web technologies.
The course will focus on the theoretical background of various languages on the Semantic Web such as RDF, SPARQL, OWL, and F-Logic (Programming), and the practical use of these languages on the Semantic Web. In addition, the course will focus on important application areas for Semantic Web technology, namely Web Services and Life Sciences.

SYLLABUS

  • Resource Description Framework (RDF)
  • Dublin Core/SKOS/RDFa
  • Lightweight ontologies: RDF Schema
  • Logics for Knowledge Representation
  • RDFS Semantics and Rules
  • Web Ontology Language (OWL)
  • Ontology Engineering
  • Semantic Web in Life Sciences


TEACHING FORMAT
The course consists of a frontal classroom plus lab exercises and a small project, in which the students get hands-on experience with the use of Semantic Web technologies.

ASSESSMENT
  • Final written exam [75% of mark].
  • Completion of the lab exercises [25% of mark]


READING LIST
The full reading list may be found on the course web page

SOFTWARE USED

  • Jena for processing RDF and SPARQL
  • Protege-OWL for modeling ontologies in OWL
  • FLORA-2 for processing ontologies and rules in F-Logic
  • NeOn toolkit


LEARNING OUTCOME

  • The students will acquire an understanding of the theory behind and the use of the technologies on the Semantic Web, as well as important application areas, Semantic Web Services and Semantic Web for the Life Sciences.
  • Hands-on experience with modeling and automated processing of descriptions on the Semantic Web will be acquired.


COURSE PAGE

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Credits
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