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Studentsider
Laveregradsemne

Knowledge Graphs

Hovedinnhold

Studienivå (studiesyklus)

Bachelor

Undervisningssemester

Spring

Mål og innhald

Students will learn theories, techniques, tools, and best practices for managing semantic data and metadata. Students will acquire understanding and skills for programming applications that use and produce such data. Students will learn about existing sources of and standards for big, open, and semantically marked-up data. They will gain practical experience in developing semantic model-based applications using technologies such as RDF, RDFS, OWL, SPARQL, and JSON-LD.

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:

  • standards and technologies for semantic information systems, for example using RDF and SPARQL
  • semantic modelling of interoperable information systems, for example using RDFS and OWL
  • available sources of and vocabularies for big, open, and semantically marked-up data

Skills

The candidate

  • can develop advanced information models, for example ontologies
  • can use formats and languages such as RDF, RDFS, OWL, SPARQL, and JSON-LD
  • can use existing frameworks and tools for managing semantic data and metadata
  • can use existing frameworks and tools for developing semantic applications

Krav til forkunnskapar

  • Basic data skills in data management and artificial intelligence
  • Medium level skills in programming

Tilrådde forkunnskapar

Krav til studierett

Open

Arbeids- og undervisningsformer

20 two-hour lectures, 14 two-hour labs or seminars

Obligatorisk undervisningsaktivitet

Compulsory participation: Attendance at labs (at least 75 %)

Approved compulsory requirements are valid for the two following semesters.

Update: In the spring semester 2021, the requirement to attend 75% of the seminars will not apply due to the corona situation. However, it is highly recommended that students attend as much as possible.

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

The course is evaluated by students every three years, and by the responsible lecturer each year.

Institutt

Department of Information Science and Media Studies

Eksamensinformasjon

  • Vurderingsordning: Heimeeksamen og gruppeoppgåve

    Trekkfrist
    23.04.2021
    • Eksamensdel: Heimeeksamen

      Oppgave utleveres
      07.06.2021, 09:00
      Innleveringsfrist
      07.06.2021, 12:00
      Eksamenssystem
      Inspera
      Digital eksamen
    • Eksamensdel: Gruppeoppgåve

      Innleveringsfrist
      07.05.2021, 14:00
      Eksamenssystem
      Inspera
      Digital eksamen