Every winter semester
5 Credit points
For information on the duration of the modul, refer to the courses of study in which the module is used.
Non-official translation of the module descriptions. Only the German version is legally binding.
Topics conveyed in the lecture give an insight into the area of the Semantic Web and semantic technologies. At the end of the course students should be familiar with the fundamental formalisms and data models of the Semantic Web. They should also be capable to develop simple applications based on semantic technologies.
This module discusses the principles of the Semantic Web as well as semantic information systems and semantic technologies and their applications. We will get acquainted with the data models and interchange formats of the Semantic Web (RDF, RDFS, OWL, SKOS) and the query language SPARQL.The module also introduces the basics of ontologies and deals with their design and modelling. In this context, we discuss current methodologies for the modeling of ontologies by using modelling tools, e.g. Protégé. We also discuss semantic data bases as a storage for RDF data and applications of semantic technologies. Furthermore, we introduce the idea of Open Linked Data. Practical exercises using modelling tools like Protégé and semantic data bases like SESAME complete the module.
Literature:
Competences as gained through, e.g., 36-Inf-1 Algorithmen und Datenstrukturen and 39-Inf-6 Grundlagen Theoretischer Informatik (esp. Logik).
Basic knowledge of mathematics
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The (partial) examination of the module can be performed as "ungraded" in some study programs at the students choice. Before the examination a respective determination must be carried out, a later modification (graded - ungraded) is impossible. If the "ungraded" option is chosen, it is not possible to include this module in a study program where this module is deemed to enter the calculation of the overall grade.
Module structure: 0-1 bPr, 0-1 uPr 1
In some degree programmes of the Faculty of Technology, the module examination can also be "ungraded" at the student's discretion (see explanations of the module elements and the respective subject-specific regulations). If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
See below for explanations of this examination (graded examination option).
Exercises based on the material covered in the lectures (pass mark of 60%, students have to be able to demonstrate how they arrived at the solution). Exercises are usually handed out on a weekly basis. Final oral presentation (15 - 25min.).
Degree programme | Profile | Recommended start 3 | Duration | Mandatory option 4 |
---|---|---|---|---|
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 1 | 3. | one semester | Compulsory optional subject |
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 2 | 3. | one semester | Compulsory optional subject |
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] | 1. o. 3. | one semester | Compulsory optional subject | |
Intelligent Systems / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015 und Berichtigung vom 17.11.2014] | 1. o. 3. | one semester | Compulsory optional subject | |
Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] | 1. o. 3. | one semester | Compulsory optional subject | |
Informatics for the Natural Sciences / Master of Science [FsB vom 17.12.2012 mit Änderungen vom 15.04.2013, 01.04.2014, 15.10.2014, 02.03.2015, 01.12.2015 und Berichtigungen vom 01.04.2014, 17.11.2014 und 12.07.2017] | 1. o. 3. | one semester | Compulsory optional subject |
The system can perform an automatic check for completeness for this module.