FF:ISKM89 Organisation of Data - Course Information
ISKM89 Organisation of Data - Sematic Web
Faculty of ArtsAutumn 2024
- Extent and Intensity
- 0/2/0. 5 credit(s). Type of Completion: z (credit).
- Teacher(s)
- PhDr. Michal Lorenz, Ph.D. (lecturer)
RNDr. Zuzana Nevěřilová, Ph.D. (lecturer) - Guaranteed by
- PhDr. Michal Lorenz, Ph.D.
Department of Information and Library Studies – Faculty of Arts
Contact Person: Mgr. Alice Lukavská
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Tue 12:00–13:40 G13, except Mon 18. 11. to Sun 24. 11.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 9/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 10 fields of study the course is directly associated with, display
- Course objectives
- At the end of this course, the student will be able to understand terms from Semantic Web technologies; understand how to store knowledge in ontologies using RDF(S) and OWL; understand the basic types of relations and inference offered by these languages; be able to create their own ontology; understand the SPARQL query language and be able to formulate queries over existing ontologies.
- Learning outcomes
- Upon completion of the course, the student will be able to:
understand the organization of data according to W3C standards;
understand how to store knowledge in ontologies using RDF(S) and OWL;
understand session types;
understand inference supported by RDF(S) and OWL;
create their own ontology;
formulate SPARQL queries over existing ontologies - Syllabus
- Semantic Web: from ideas to practical implementations
- Uniform Resource Identifier
- RDF(S), OWL
- Descriptive logic
- Existing ontologies
- Query languages, inference languages
- Tools (validation, visualization, Protégé)
- Implementation (triple stores)
- Teaching methods
- seminars with practical part in the computer room
- Assessment methods
- mini project in Protégé, discussion
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/phil/autumn2024/ISKM89