[ 921CGELSDMK13 ] KV Semantic Data Modeling and Applications
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| Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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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 |
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| 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".
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| Subject |
Information systems design, Object-oriented data models (UML), Ontologies, Ontology engineering, RDF, OWL, Modeling tools
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| Criteria for evaluation |
Oral exam as well as the submission and evaluation of exercises
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| Methods |
Slide-based presentation, exercises
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| Language |
English |
| Changing subject? |
No |
| Corresponding lecture |
(*)INMAWKVDMAE: KV Datenmodellierung und Applikationsentwicklung (3 ECTS)
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| On-site course |
| Maximum number of participants |
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| Assignment procedure |
Direct assignment |
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