Description:

The students will learn the most recent concepts and technologies of the Semantic Web. The course will provide an overview of the Semantic Web technologies, methods and best practices for modelling, integration, publishing, querying and consumption of semantic data. The students will also gain skills in creation of knowledge graphs and their systematic quality assurance.

Contents:

1. Key Semantic Web principles and the Semantic Web technology stack.
2. Data models for knowledge representation.
3. Modeling ontologies using Semantic Web languages.
4. Querying semantic data.
5. Prominent ontological models and their use.
6. Linked Data principles.
7. Methods and techonologies for Linked Data publishing.
8. Web Annotations.
9. (2) Semantic knowledge graphs: creation and use of knowledge graphs.
10. Methods for integration and fusion of semantic data.
11. Data quality assurance for the Semantic Web.
12. Machine-readable descriptions of semantic datasets (data
catalogs).

Seminar contents:

1. Introduction, basic Semantic Web principles and technologies.
2. Ontologies.
3. Querying RDF data (SPARQL).
4. Data integration and Linked Data.
5. Data quality assurance (SHACL).
6. Web annotation mechanisms (microformats, microdata, RDFa).

Recommended literature:

1. Hitzler, P. - Krotzsch, M. - Rudolph, S. : Foundations of Semantic Web Technologies. Chapman and Hall/CRC, 2009. ISBN 978-1420090505.
2. Wood, D. - Zaidman, M. - Ruth, L. - Hausenblas, M. : Linked Data - Structured Data on the Web. Manning Publications, 2013. ISBN 9781617290398.
3. Pan, Z. P. - Vetere, G. - Gomez-Perez, J. M. - Wu, H. : Exploiting Linked Data and Knowledge Graphs in Large Organisations. Springer, 2017. ISBN 9783319456522.
4. Antoniou, G. - Groth, P. - van Harmelen, F. - Hoekstra, R. : A Semantic Web Primer. MIT Press, 2012. ISBN 0262018284.

Keywords:

Semantic Web, knowledge graphs, data, ontologies

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar