Mål og innhald
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 in a way that enables interoperability and reasoning over the data sets. The theoretical studies will be supplemented with practical exercises in information modeling and reasoning.
Undervisningsformer og omfang av organisert undervisning
12-16 two-hour lectures, 10-16 two-hour seminars
Mandatory participation: Attendance at mandatory labs (at least 80%).
Krav til studierett
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.
Krav til forkunnskapar
3 hours Written Exam (60%)
1 Group Assignment (40% )
Letter grade (A-F).
The course is evaluated by students every three years, and by the responsible lecturer each year.
Department of Information Science and Media Studies