[ 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 2019W
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 incorporation of semantics and quality assurance gain increasing importance for data analysis. This course aims at object-oriented data and information models used for information systems design. Especially in a heterogeneous application scenario, the consideration of semantics is of particular importance. Therefore, ontologies are introduced as most expressive model that allow the representation of semantics to extend information systems to knowledge graphs. Additionally, several ontology engineering processes and methodologies are presented. Students gain experience by applying the learned methods to practical exercises. It is recommended to visit also the course "Conceptual Data Modeling".
Subject Information systems design, Object-oriented data models (UML), Ontologies, Ontology engineering, RDF, OWL, 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