Knowledge Graphs

Undergraduate course

ECTS credits: 10
Teaching semesters
Course code: INFO216
Number of semesters: 1
Teaching language: English
Resources: Schedule

Select course description for semester

Objectives and Content

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.

Learning Outcomes

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

Level of Study

Bachelor

Semester of Instruction

Spring

Required Previous Knowledge

INFO132 Programming or equivalent

Recommended Previous Knowledge

Basic data skills in data management and artificial intelligence
Medium level skills in programming
For example:
- INFO125 Data Management
- INFO135 Advanced Programming
- INFO180 Methods in Artificial Intelligence

Credit Reduction due to Course Overlap

5 ECTS in combination with INFO116

Access to the Course

The course is open to students with admission to study at UiB.

The course has 100 study places and enrolment is based on application in StudentWeb.

Students who have this course as a compulsory part of their study plan will have priority access.

The application deadline is Monday week 2.

You will receive confirmation of whether you received a seat no later than Thursday the same week as the deadline.

Teaching and learning methods

Lectures, labs/seminars.

Compulsory Assignments and Attendance

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

Approved compulsory requirements are valid for the two following semesters.

Forms of Assessment

4 hours written exam

The exam assignment will be given in the language of instruction in the course.
The exam answer must be submitted in the same language as the exam assignment.

Grading Scale

Letter grade (A-F)

Assessment Semester

Assessment in teaching semester.

A retake exam is arranged for students with valid absence according to UiBs study regulations § 5-5.If there is a retake exam for students valid absence, students with the following results/absences can register for the exam: