LFU:online

Students who have completed this module should understand the topics covered in the lectures, and be able to express and apply them. They should be able to independently acquire similar knowledge and have a basic understanding of semantic
systems.

Ontologies, which are consensual specifications of knowledge in a particular domain, form the backbone of the semantic web. Important topics covered in the lecture are: representation mechanisms (like RDF, RDFS, OWL) for data, meta-data and ontologies in the semantic web; knowledge graphs and linked data; semantic annotations; different reasoning and querying techniques for retrieving, filtering and combining information on the web; and applications.

Lecture with interactive elements, flipped classroom, course project group work and paper. Assessment is based on a single examination at the end of the course and the final group work paper.

Course examination according to § 7, statute section on "study-law regulations".

• J.Z. Pan, G. Vetere, J.M. Gomez-Perez, H. Wu. Exploiting Linked Data and Knowledge Graphs in Large Organisations, Springer, 2017.
• R.V. Guha, D. Brickley, S. Macbeth. Schema. org: evolution of structured data on the web. Communications of the ACM, 59(2), 44-51, 2016.
• L. Sikos. Mastering structured data on the Semantic Web: From HTML5 microdata to linked open data. Apress, 2015.
• D. Allemang and J. Hendler. Semantic web for the working ontologist: effective modeling in RDFS and OWL. Elsevier, 2011.
• T. Heath and C. Bizer. Linked Data: Evolving the Web into a Global Data Space (1st edition), Morgan & Claypool, 2011.
• D. Fensel, J. Domingue, J.A. Hendler (editors). Handbook of Semantic Web Technologies, Springer, 2010.
• G. Antoniou and F. van Harmelen. A Semantic Web Primer, (2nd edition), The MIT Press, 2008.
• D. Fensel. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, 2nd Edition, Springer, 2003.
• T. Berners-Lee. Weaving the Web, HarperCollins, 2000.
• T.R. Gruber, Toward principles for the design of ontologies used or knowledge sharing? , Int. J. Hum.-Comput. Stud., vol. 43, no. 5-6, 1995.

Further literature will be discussed in the first lesson.