Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M - Master's programme
Computer Science
Wolfram Wöß
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computer Science 2013W
Objectives
The development of complex information systems in a heterogeneous application context requires modeling methods for data as well as information objects considering their semantics.
This course aims on object-oriented data and information models used for information systems design. Especially in a heterogeneous application scenario the consideration of the semantics is of particular importance. Therefore ontologies are introduced as formal, explicit specifications of a shared conceptualization. Additionally, several ontology engineering processes and methodologies are presented. Practical experiences are gained by using the methods and their application in exercises and examples.
It is recommended to visit the course "Conceptual Data Modeling".
Subject
Information system design, Object oriented data and information models, Unified Modeling Language (UML), Ontologies, Ontology engineering, Modeling tools
Criteria for evaluation
Oral exam as well as the submission and evaluation of exercises
Methods
Slide-based presentation, exercises
Language
English
Changing subject?
No
Corresponding lecture
(*)INMAWKVDMAE: KV Datenmodellierung und Applikationsentwicklung (3 ECTS)
