Level of Study
Objectives and Content
Students will learn theories, techniques, tools, and best practices for managing semantic data and metadata. Students will acquire understanding and skills for programming applications that use and produce such data. Students will learn about existing sources of and standards for big, open, and semantically marked-up data. They will gain practical experience in developing semantic model-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:
The student has theoretical knowledge of basic concepts related to:
- standards and technologies for semantic information systems, for example using RDF and SPARQL
- semantic modelling of interoperable information systems, for example using RDFS and OWL
- available sources of and vocabularies for big, open, and semantically marked-up 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 data and metadata
- can use existing frameworks and tools for developing semantic applications
Required Previous Knowledge
- Basic data skills in data management and artificial intelligence
- Medium level skills in programming
Recommended Previous Knowledge
Access to the Course
Teaching and learning methods
20 two-hour lectures, 14 two-hour labs, 14 two-hour seminars
Compulsory Assignments and Attendance
Compulsory participation: Attendance at labs (at least 80 %)
Approved compulsory requirements are valid for the two following semesters.
Forms of Assessment
- 3 hours Written Exam (60%)
- 1 Group Assignment (40%)
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.
Department of Information Science and Media Studies
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. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.
Type of assessment: Written exam and group assignment (New exam)
- Withdrawal deadline
Exam part: Written exam
- 18.09.2019, 09:00
- 3 hours
- Examination system
- Digital exam
Exam part: Group assignment