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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2020/2021

Semantic Web and Knowledge Charts

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Code Completion Credits Range Language
NI-SWE Z,ZK 5 2P+1C Czech
Lecturer:
Milan Dojčinovski (guarantor), Jakub Klímek (guarantor)
Tutor:
Milan Dojčinovski (guarantor), Jakub Klímek (guarantor)
Supervisor:
Department of Software Engineering
Synopsis:

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.

Requirements:

Basic knowledge of algorithmics, Web technologies, HTTP, HTML, XML, URI, programming skills (e.g. Java), graph theory.

Syllabus of lectures:

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).

Syllabus of tutorials:

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).

Study Objective:

This course deals with methods and models supporting automated processing and sharing information on the web by content and meaning. It focuses on formal models of knowledge representation (RDF, RDFS, OWL), their theoretical aspects and also on practical aspects (e.g., annotation of web resources, ontology mapping, querying and data quality assurance).

Study materials:

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.

Note:
Further information:
https://moodle-vyuka.cvut.cz/course/view.php?id=2250
Time-table for winter semester 2020/2021:
Time-table is not available yet
Time-table for summer semester 2020/2021:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2020-10-27
For updated information see http://bilakniha.cvut.cz/en/predmet6115406.html