[ 921CGELSDMK13 ] KV Semantic Data Modeling and Applications

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Computer Science Wolfram Wöß 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2022W
Objectives The development of complex information systems in a heterogeneous application context requires modeling methods for data as well as information objects including their semantics. The objective of this course is to teach the application of object-oriented data and information models for the development of information systems. Especially in heterogeneous application scenarios, the consideration of the semantics is of special importance. Ontologies are presented as formal, explicit specifications of a shared conceptualization and different ontology engineering processes and methodologies are discussed. Practical experience is gained by using the methods and applying them in exercises and examples.
Subject Information systems development, Object-oriented data models (UML), Ontologies, Ontology engineering, RDF, OWL, Modeling tools

Semantic Data Modeling and Applications enables students

  • to gain knowledge about object-oriented data models
  • to apply specific UML models for data modeling and information system development
  • to develop ontologies and knowledge graphs
  • to gain practical experiences by applying the methods in exercises and examples
Criteria for evaluation Exam as well as the submission and evaluation of exercises
Methods Slide-based presentation, exercises
Language English
Study material Will be announced at the start of the semester
Changing subject? No
Corresponding lecture INMAWKVDMAE: KV Datenmodellierung und Applikationsentwicklung (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment