Inhalt

[ 921CGELSDMK13 ] KV (*)Semantic Data Modeling and Applications

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
3 ECTS M1 - Master 1. Jahr Informatik Wolfram Wöß 2 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Computer Science 2022W
Ziele (*)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.
Lehrinhalte (*)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
Beurteilungskriterien (*)Exam as well as the submission and evaluation of exercises
Lehrmethoden (*)Slide-based presentation, exercises
Abhaltungssprache Englisch
Literatur (*)Will be announced at the start of the semester
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)INMAWKVDMAE: KV Datenmodellierung und Applikationsentwicklung (3 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer -
Zuteilungsverfahren Direktzuteilung