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Laveregradsemne

Knowledge Graphs

Hovedinnhold

Studiepoeng, omfang

10 ECTS

Studienivå (studiesyklus)

Bachelor

Undervisningssemester

Spring

Mål og innhald

Students will learn theories, techniques, tools, and best practices for managing knowledge graphs. Students will acquire understanding and skills for programming applications that use and produce such data and metadata. Students will learn about existing sources of and standards for big, open, and semantic data. They will gain practical experience in developing knowledge graph-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 techniques for knowledge graphs, for example RDF and SPARQL
  • semantic modelling of information systems, for example using RDFS and OWL
  • available sources of and vocabularies for big, open, and semantic 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 knowledge graphs
  • can use existing frameworks and tools for developing knowledge graph-based applications

Krav til forkunnskapar

INFO132 Programming

Tilrådde forkunnskapar

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

Studiepoengsreduksjon

5 ECTS in combination with INFO116

Krav til studierett

Ope

Arbeids- og undervisningsformer

14 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.

Vurderingsformer

4 hours written exam

Hjelpemiddel til eksamen

None

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.

Litteraturliste

The reading list will be ready before 1 June for the autumn semester and 1 Decemeber for the spring semester. 

Emneevaluering

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

Programansvarleg

The Programme Committee is responsible for the content, structure and quality of the study programme and courses

Emneansvarleg

Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.

Administrativt ansvarleg

Department of Information Science and Media Studies at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.

Eksamensinformasjon

  • Klokkeslett for oppstart av skriftlig eksamen kan endre seg fra kl 09.00 til 15.00 eller vice versa inntil 14 dager før eksamen.

  • Vurderingsordning: Skoleeksamen

    Dato
    30.05.2022, 15:00
    Varigheit
    4 timer
    Trekkfrist
    16.05.2022
    Eksamenssystem
    Inspera
    Digital eksamen
    Sted