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Event

Exercises to Semantic Web Technologies [SS202511311]

Type
exercise (Ü)
Term
SS 2020
SWS
1
Language
Englisch
Appointments
13
Links
ILIAS

Lecturers

Organisation

  • Web Science

Part of

Literature

  • Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, York Sure: Semantic Web – Grundlagen. Springer, 2008.
  • John Domingue, Dieter Fensel, James A. Hendler (Editors). Handbook of Semantic Web Technologies. Springer, 2011.

Weitere Literatur

  • S. Staab, R. Studer (Editors). Handbook on Ontologies. International Handbooks in Information Systems. Springer, 2003.
  • Tim Berners-Lee. Weaving the Web. Harper, 1999 geb. 2000 Taschenbuch.
  • Ian Jacobs, Norman Walsh. Architecture of the World Wide Web, Volume One. W3C Recommendation 15 December 2004. http://www.w3.org/TR/webarch/
  • Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008.
  • Tom Heath and Chris Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology, 2011.

Appointments

  • 20.04.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 27.04.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 04.05.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 11.05.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 18.05.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 25.05.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 08.06.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 15.06.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 22.06.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 29.06.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 06.07.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 13.07.2020 11:30 - 13:00 - Room: 05.20 1C-03
  • 20.07.2020 11:30 - 13:00 - Room: 05.20 1C-03

Note

The exercises are related to the lecture Semantic Web Technologies.

Multiple exercises are held that capture the topics, held in the lecture Semantic Web Technologies, and discuss them in detail. Thereby, practical examples are given to the students in order to transfer theoretical aspects into practical implementation.

The following topics are covered:

  • Resource Description Framework (RDF) and RDF Schema (RDFS)
  • Web Architecture and Linked Data
  • Web Ontology Language (OWL)
  • Query language SPARQL
  • Rule languages
  • Applications

Learning objectives:

The student

  • understands the motivation and foundational ideas behind Semantic Web and Linked Data technologies, and is able to analyse and realise systems
  • demonstrates basic competency in the areas of data and system integration on the web
  • masters advanced knowledge representation scenarios involving ontologies

Recommendations:

Lectures on Informatics of the Bachelor on Information Systems (Semester 1-4) or equivalent are required. Knowledge of modeling with UML is required.