Knowledge Graphs

Studienivå (studiesyklus)

Bachelor

Undervisningssemester

Spring

Mål og innhald

Students will learn advanced semantic modelling and programming techniques and other best practices for managing information with semantic technologies. Students will acquire skills to build platforms and applications that use semantic technologies for information management and use for big open data. They will gain practical experience in developing semantic model-based applications using technologies such as RDF and OWL.

Læringsutbyte

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

Knowledge:

The candidate has theoretical knowledge of basic concepts related to:

• semantic modelling for interoperable information systems, for example using RDFS and OWL.
• other standards for semantic information systems.
• information quality.

Skills: The candidate

• can develop advanced information models, for example ontologies.
• can implement semantic applications.
• can use existing application frameworks for semantic applications.

Krav til forkunnskapar

None

Tilrådde forkunnskapar

• INFO116 Semantic technologies
• INFO125 Data Management
• INFO132 Programming

Krav til studierett

Open

Arbeids- og undervisningsformer

14-16 two-hour lectures, 14-16 two-hour seminars

Obligatorisk undervisningsaktivitet

Mandatory participation: Attendance at mandatory labs (at least 80 %)

Vurderingsformer

• 3 hours Written Exam (60%)
• 1 Group Assignment (40%)

Karakterskala

Letter grade (A-F).

Vurderingssemester

Assessment in teaching semester. Only students who have a valid document of absence will be entitled to take a new written exam the following semester.

Emneevaluering

Alle emne blir evaluert i tråd med UiBs kvalitetssystem for utdanning.

Institutt

Department of Information Science and Media Studies