Undergraduate course

Semantic Technologies

Level of Study


Teaching semester


Objectives and Content

The course introduces students to information technologies that not only store and manipulate data, but also explicitly represent the meaning of the data. Students will become familiar with the theoretical background as well as popular technologies and resources in use today. The aim is to give students a thorough understanding of the way information can be represented to enable interoperability and prepares for reasoning over data sets, especially data on the web. The theoretical studies will be supplemented with practical exercises in information modeling and retrieval.

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

  • knows the basic concepts for representing the semantics of data.
  • knows the basic concepts for retrieving semantically-enriched data.
  • knows the standards for semantic technologies, for example RDF and SPARQL.


The candidate

  • can design meaningful information representations.
  • can add meaningful data to existing web resources
  • can retrieve data from semantically-enriched data sets.

Required Previous Knowledge


Recommended Previous Knowledge

INFO132 Programming, INFO125 Data Management should be taken in the same semester or before.

Access to the Course


Teaching and learning methods

12-16 two-hour lectures, 10-16 two-hour seminars

Compulsory Assignments and Attendance

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

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

    Withdrawal deadline
    • Exam part: Written exam

      18.12.2019, 09:00
      3 hours
      Examination system
      Digital exam
    • Exam part: Group assignment

      Submission deadline
      29.11.2019, 14:00
      Examination system
      Digital exam