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
Upon completion of the course the student should be able to:
explain the basic concepts for representing the semantics of data.
explain the basic concepts for retrieving semantically-enriched data.
describe the standards for semantic technologies, for example RDF and SPARQL.
design meaningful information representations.
add meaningful data to existing web resources
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
Open
Teaching Methods and Extent of Organized Teaching
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
Autumn
Course Evaluation
The course is evaluated by students every three years, and by the responsible lecturer each year.
Contact Information
studieveileder@info.uib.no
Department
Department of Information Science and Media Studies