Research Topics in Semantic Information Systems

Postgraduate course

Course description

Objectives and Content

The course provides the theoretical and technological foundations for developing and evolving information systems that are driven by semantic models, such as knowledge graphs and ontologies, in combination with large language and multimedia models. The course also gives the academic background for supervised research on information systems that are based on these types of models. The course reviews and discusses relevant theories, technologies and standards and also involves practical development work. Examples of research and research methods in the area will also be presented and discussed.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge:

The student

  • understands central concepts in semantic information systems
  • understands central concepts of knowledge graphs and ontologies
  • understands central concepts of large language and multimedia models
  • understands how the theories, technologies and standards are used to solve practical problems
  • know about topical research methods used in the area

Skills:

The student

  • can describe and discuss current research and industry trends in semantic information systems and other related AI techniques
  • can use the theories, technologies and standards to solve real problems and to justify the choices behind the solution

ECTS Credits

10 ECTS

Level of Study

Master

Semester of Instruction

Irregular (not taught every year)
Required Previous Knowledge
Bachelor's degree in information science or equivalent.
Access to the Course
Master's Programme in Information Science. Other master students may apply for admission.
Teaching and learning methods
Lectures, and work with assignments, presentations and discussions.
Compulsory Assignments and Attendance
  • Participation at 80% of course seminars. 
  • Plenary presentations of individual essay and group assignment.
Forms of Assessment

Exam in three parts:

  • Written exam (30%)
  • Individual, theoretical essay with thoughtful research and discussion of an assigned topic (30%)
  • Practical assignment in groups (40%)

The exam assignment will be given in the language of instruction in the course.The exam answer must be submitted in the same language as the exam assignment.

Grading Scale
The grading system has a descending scale from A to E for passes and F for fail.
Assessment Semester

Assessment in teaching semester.

A retake exam is arranged for students with valid absence according to UiBs study regulations § 5-5.If there is a retake exam for students valid absence, students with the following results/absences can register for the exam:

  • Interruption during the exam
  • Fail/failed

Students can register themselves in Studentweb after January 15/August 1

Reading List
The reading list will be published on July 1st  / December 1st
Examination Support Material
The Information Science Programme Committee is responsible for the professional content and structure of the study program and for the quality of the study program and all courses there.
Programme Committee
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course Administrator
The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course