188.399 Introduction to Semantic Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to...

  1. explain the vision and history of  Semantic Web technologies
  2. semantically model a domain of interest with ontologies
  3. apply core web-based semantic representation standards
  4. build a knowledge graph by transforming (structured) data into a semantic representation
  5. store and query knowledge graphs
  6. design and implement semantic applications 

Subject of course

Dates:

  • Introduction to Semantic Web technolgies
  • Ontologies and ontology modeling
  • Semantic Web technology Stack (RDF, RDF-S, OWL, SPARQL, RIF)
  • Knowledge Graph storage and querying
  • Knowledge Graph creation
  • Semantic application development

Teaching methods

Individual assessment.

Mode of examination

Written

Additional information

Mandatory enrollment!

 

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri09:00 - 11:0009.10.2020 - 23.10.2020 (LIVE)Lecture
Fri09:00 - 11:0006.11.2020 (LIVE)Lecture 4: Knowledge Graph Querying with SPARQL
Fri09:00 - 11:0020.11.2020 (LIVE)Lecture 5: Programming Semantic Systems
Fri09:00 - 11:0004.12.2020 - 18.12.2020 (LIVE)Lecture
Tue08:00 - 10:0026.01.2021 Exam
Fri08:00 - 09:3005.03.2021HS 11 Paul Ludwik Exam (retake)
Introduction to Semantic Systems - Single appointments
DayDateTimeLocationDescription
Fri09.10.202009:00 - 11:00 Lecture 1: Evolution of Semantic Web Technologies
Fri16.10.202009:00 - 11:00 Lecture 2: Ontologies and Ontology Modeling
Fri23.10.202009:00 - 11:00 Lecture 3: Semantic Representation Languages
Fri06.11.202009:00 - 11:00 Lecture 4: Knowledge Graph Querying with SPARQL
Fri20.11.202009:00 - 11:00 Lecture 5: Programming Semantic Systems
Fri04.12.202009:00 - 11:00 Lecture 6: Knowledge Graph Population and Storage
Fri11.12.202009:00 - 11:00 Lecture 7: Knowledge Graph Applications
Fri18.12.202009:00 - 11:00 Backup Lecture
Tue26.01.202108:00 - 10:00 Exam

Examination modalities

Individual assignments + final exam

ECTS-Breakdown (Estimated effort : 75 hours)

  • Opening session: 1 hour
  • Lectures: 12 Hours
  • Assignments: 44 hours
  • Exam preparation tasks: 16 hours
  • Exam: 2 hours

Course registration

Begin End Deregistration end
16.09.2020 08:00 14.10.2020 08:00 30.10.2020 08:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
066 926 Business Informatics Not specified
066 933 Information & Knowledge Management Mandatory
066 936 Medical Informatics Mandatory elective
066 937 Software Engineering & Internet Computing Mandatory elective

Literature

No lecture notes are available.

Language

English