Level of Study
Objectives and Content
Students will learn theories, techniques, tools, and best practices for managing knowledge graphs. Students will acquire understanding and skills for programming applications that use and produce such data and metadata. Students will learn about existing sources of and standards for big, open, and semantic data. They will gain practical experience in developing knowledge graph-based applications using technologies such as RDF, RDFS, OWL, SPARQL, and JSON-LD.
A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
The candidate has theoretical knowledge of basic concepts related to:
- standards and techniques for knowledge graphs, for example RDF and SPARQL
- semantic modelling of information systems, for example using RDFS and OWL
- available sources of and vocabularies for big, open, and semantic data
- can develop advanced information models, for example ontologies
- can use formats and languages such as RDF, RDFS, OWL, SPARQL, and JSON-LD
- can use existing frameworks and tools for managing semantic knowledge graphs
- can use existing frameworks and tools for developing knowledge graph-based applications
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
5 ECTS in combination with INFO116
Access to the Course
Teaching and learning methods
14 two-hour lectures, 14 two-hour labs or seminars
Compulsory Assignments and Attendance
Compulsory participation: Attendance at labs (at least 75 %)
Approved compulsory requirements are valid for the two following semesters.
Forms of Assessment
4 hours written exam
Letter grade (A-F)
Assessment in teaching semester. Only students who have a valid document of absence will be entitled to take a new written exam the following semester.
The course is evaluated by students every three years, and by the responsible lecturer each year.
The Programme Committee is responsible for the content, structure and quality of the study programme and courses
For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam.
Type of assessment: Skoleeksamen
- 30.05.2022, 15:00
- 4 hours
- Withdrawal deadline
- Examination system
- Digital exam