Intendierte Lernergebnisse
The modern Web is an important communication channel for an enormous number of people around the world. However, since its introduction in early nineties the content of the Web is generated mainly by people and for people. Computers act mainly as a medium and are not able to use the information they transfer. Semantic Web is called to make machines to read the Web as we do. The course gives an introduction to this emerging area some parts of which are already well-known industry standards whereas the others are a focus of active research.
Lehrmethodik
The course combines lectures with practical exercises.
Inhalt/e
XML Resource Description Framework (RDF) RDF Schema Linking Open Data (LOD) SPARQL: a query language for the Web Semantic modeling and reasoning with OWLLogic Programming for the Semantic Web
Erwartete Vorkenntnisse
Basic knowledge of modern Web technologies is required.Recommended courses: Logic & Logic Programming, Databases (these courses are not mandatory, but simplify understanding of the material)
Curriculare Anmeldevoraussetzungen
No prerequisites
Literatur
Main sources:Dean Allemang, James Hendler: Semantic Web for the Working Ontologist, Second Edition. Morgan Kaufmann (2011)Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph: Foundations of Semantic Web Technologies. Chapman & Hall/CRC (2008)Additional:John Hebeler, Matthew Fisher, Ryan Blace, Andrew Perez-Lopez, Mike Dean: Semantic Web Programming. Wiley (2009)Tom Heath, Christian Bizer: Linked Data. Morgan & Claypool Publishers (2011)Thomas Eiter, Giovambattista Ianni, Thomas Krennwallner, and Axel Polleres. Rules and ontologies for the semantic web. In Reasoning Web 2008, volume 5224 of Lecture Notes in Computer Science (LNCS), pages 1-53.