Semantic Technologies
Course offered :
- Current semester
- Next semester
Current programmes of study
| Number of credits | 10 |
| Course offered (semester) | Autumn |
| Schedule | Schedule |
| Reading list | Reading list |
Language of Instruction
English
Pre-requirements
None
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 related to logical basis of reasoning with semantically-enriched data.
- describe the standards for semantic technologies, for example RDF and SPARQL.
- design meaningful information representations.
- use reasoning techniques on semantically-enriched data sets.
understand and be able to use information from a large number of public data sets.integrate information represented in different data sets.
Contact Information
studieveileder@info.uib.no
Course offered (semester)
Autumn
Exam offered (semester)
Autumn
Language of Instruction
English
Course Unit Level
Bachelor
Department
Department of Information Science and Media Studies
Access to the Course Unit
Open
Aim 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 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.
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 related to logical basis of reasoning with semantically-enriched data.
- describe the standards for semantic technologies, for example RDF and SPARQL.
- design meaningful information representations.
- use reasoning techniques on semantically-enriched data sets.
understand and be able to use information from a large number of public data sets.integrate information represented in different data sets.
Pre-requirements
None
Recommended previous knowledge
INFO132 Programming, INFO125 Data Management should be taken in the same semester or before.
Teaching Methods
Lectures (16-20 hours), Seminars (16-20 hours).
Compulsory Requirements
Students must participate in class exercises
Assessment methods
3 hours Written Exam (60%)
1 Group Assignment (40% )
Grading Scale
Letter grade (A-F).
Course Unit Evaluation
The course is evaluated by students every three years, and by the responsible lecturer each year.
Contact Information
studieveileder@info.uib.no