Course: Semantic Web

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Course title Semantic Web
Course code KMI/SEMW
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Masopust Tomáš, doc. RNDr. Ph.D., DSc.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Seminar Work

Recommended literature
  • A. Lukasová, M. Žáček, M. Vajgl, Z. Telnarová. (2019). Formální logika a sémantický web. Západočeská univerzita, Plzeň.
  • F. Baader (ed.). (2003). The Description Logic Handbook. Cambridge University Press.
  • Franz Baader, Ian Horrocks, Carsten Lutz, Uli Sattler. (2017). An introduction to description logic.
  • G. Antoniou, P. Groth, F. van Harmelen, R. Hoekstra. (2012). A Semantic Web Primer. MIT Press.
  • L. Yu. (2014). A Developer?s Guide to the Semantic Web. Springer.
  • P. Hitzler, M. Kroetzsch, S. Rudolph. (2010). Foundations of Semantic Web Technologies. CRC Press.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter