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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

NI-SWE Semantic Web and Knowledge Graphs Extent of teaching: 2P+1C
Instructor: Dojčinovski M., Klímek J. Completion: Z,ZK
Department: 18102 Credits: 5 Semester: Z

Annotation:
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.

Lecture syllabus:
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 syllabus:
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).

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.

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

Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/NI-SWE/0

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
NI-PSS.2020 Computer Systems and Networks V 3
NI-SP.2020 System Programming V 3
NI-SP.2023 System Programming V 3
NI-SPOL.2020 Unspecified Branch/Specialisation of Study VO 3
NI-SPOL.2020 Unspecified Branch/Specialisation of Study V 3
NI-MI.2020 Managerial Informatics V 3
NI-TI.2023 Computer Science V 3
NI-TI.2020 Computer Science V 3
NI-WI.2020 Web Engineering PS 3
NI-NPVS.2020 Design and Programming of Embedded Systems V 3
NIE-DBE.2023 Digital Business Engineering VO 3
NI-PB.2020 Computer Security V 3
NI-SI.2020 Software Engineering (in Czech) V 3
NI-ZI.2020 Knowledge Engineering V 3


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška