Research Topics in Semantic Information Systems
Postgraduate course
- ECTS credits
- 15
- Teaching semesters Autumn
- Course code
- INFO320
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
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 ontologies and vocabularies and that leverage big open data sets. The course also gives the academic background for supervised research on information systems that are based on semantic models. The course reviews and discusses topical theories, technologies and standards for information systems that are based on or driven by knowledge graphs and ontologies. The course also involves actual development work using selected technologies and standards, and it covers a selection of closely related topics such as big open data, large language models, semantic Internet of Things (IoT), semantic social media, semantic web services and workflows, and semantic interoperability. 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 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 related AI-based techniques
- can describe and discuss a selection of related topics such as big open data, large language models, semantic Internet of Things (IoT), semantic social media, semantic web services and workflows, and semantic interoperability
- can use the theories, technologies and standards to solve real problems and to justify the choices behind the solution
ECTS Credits
15 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, 3 hours (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 15th / August 1st.
Reading List
The reading list will be published on July 1st / December 1st
Course Evaluation
All courses are evaluated according to UiB's system for quality assurance of education.
Examination Support Material
Written exam: Dictionary preapproved by the Faculty
Programme Committee
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.
Course Administrator
The Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course