[ 921CGELSDMK13 ] KV Semantic Data Modeling and Applications

Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
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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)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment