Home
Education
Undergraduate course

Knowledge Graphs

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINFO216
  • Number of semesters1
  • LanguageEnglish
  • Resources

Level of Study

Bachelor

Teaching semester

Spring

Objectives and Content

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.

Learning Outcomes

A student who has completed the course should have the following learning outcomes:

Knowledge

The student 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 student

  • 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

Required Previous Knowledge

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

Recommended Previous Knowledge

Access to the Course

Open

Teaching and learning methods

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

Compulsory Assignments and Attendance

Compulsory participation: Attendance at labs (at least 80 %)

Approved compulsory requirements are valid for the two following semesters.

Forms of Assessment

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

Grading Scale

Letter grade (A-F)

Assessment Semester

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.

Course Evaluation

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

Department

Department of Information Science and Media Studies

Contact

Contact Information

studieveileder@ifi.uib.no

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.

  • Type of assessment: Written exam and group assignment (New exam)

    Withdrawal deadline
    04.09.2019
    • Exam part: Written exam

      Date
      18.09.2019, 09:00
      Duration
      3 hours
      Examination system
      Inspera
      Digital exam
    • Exam part: Group assignment