Undergraduate course

Knowledge Graphs

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINFO216
  • Number of semesters1
  • LanguageEnglish
  • Resources

Level of Study


Teaching semester


Objectives and Content

Students will learn advanced semantic modelling and programming techniques and other best practices for managing information with semantic technologies. Students will acquire skills to build platforms and applications that use semantic technologies for information management and use for big open data. They will gain practical experience in developing semantic model-based applications using technologies such as RDF and OWL.

Learning Outcomes

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:

  • semantic modelling for interoperable information systems, for example using RDFS and OWL.
  • other standards for semantic information systems.
  • information quality.


The candidate

  • can develop advanced information models, for example ontologies.
  • can implement semantic applications.
  • can use existing application frameworks for semantic applications.

Required Previous Knowledge


Recommended Previous Knowledge

  • INFO116 Semantic technologies
  • INFO125 Data Management
  • INFO132 Programming

Access to the Course


Teaching and learning methods

14-16 two-hour lectures, 14-16 two-hour seminars

Compulsory Assignments and Attendance

Mandatory participation: Attendance at mandatory labs (at least 80%).

Approved obligatory teaching activities (= non graded activities) are valid for two semesters after they were approved.

Forms of Assessment

  • 3 hours written exam (60%)
  • 1 assignment, group (40%)

Grading Scale

Letter grade (A-F).

Assessment Semester

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.

Course Evaluation

The course is evaluated by students every three years, and by the responsible lecturer each year.


Department of Information Science and Media Studies


Contact Information


Exam information

  • 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

    • Exam part: Written exam

      11.06.2020, 15:00
      3 hours
      Examination system
      Digital exam
    • Exam part: Group assignment

      Submission deadline
      20.05.2019, 14:00
      Examination system
      Digital exam