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053235 UE Applications of Semantic Technologies (2018W)
Continuous assessment of course work
Labels
Aufgrund der Anpassung des Lehrangebots an das neue Curriculum startet die KFK Semantische IS nunmehr jeweils im Sommersemester. Daher findet die "UE Anwendungen aus semantischen Technologien" im Sommersemester und die "VU Semantische Technologien" im Wintersemester statt.Im Studienjahr 2016/17 kann die KFK Semantische IS als Übergangslösung für Studierende des auslaufenden Curriculums mit der "UE Anwendungen aus semantischen Technologien" im WS begonnen und im darauffolgenden SS mit der "VU Semantische Technologien" abgeschlossen werden.
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Sa 08.09.2018 09:00 to Su 23.09.2018 23:59
- Deregistration possible until Su 14.10.2018 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 02.10. 16:45 - 20:00 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
- Tuesday 09.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 16.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 23.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 30.10. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 06.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 13.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 20.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 27.11. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 04.12. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 11.12. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 08.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 15.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 22.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
- Tuesday 29.01. 16:45 - 20:00 PC-Unterrichtsraum 5, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Individual or team-based realization of projects in the areas of semantic information systems. The projects are submitted based on three milestones:1. Prototype Release 20%
2. Beta Release 30%
3. Product Release 50%In all three milestones, the specification of a modelling language, the implementation of mechanisms and algorithms, and the presentation and documentation of the project will be evaluated.The submissions have to be made electronically via the e-learning platform. The presentations have to be given orally within the course at fixed dates.Attendance is mandatory.
2. Beta Release 30%
3. Product Release 50%In all three milestones, the specification of a modelling language, the implementation of mechanisms and algorithms, and the presentation and documentation of the project will be evaluated.The submissions have to be made electronically via the e-learning platform. The presentations have to be given orally within the course at fixed dates.Attendance is mandatory.
Minimum requirements and assessment criteria
For a positive evaluation of the course, more or equal to 50% of requirements have to be fulfilled. The grading scale is defined as follows: >50% - 62,5%: Genügend; >62,5% - 75%: Befriedigend; >75% - 87,5%: Gut; >87,5%: Sehr Gut
Examination topics
The examination via the five required submissions is based on topics from this course, from the preceding course of this core combinations module, and from the gatekeeper module "Knowledge Engineering". Additionally, skills and knowledge from the module "Metamodelling" are required.
Reading list
To be announced in the course.
Association in the course directory
Module: SIS SEM
Last modified: Mo 07.09.2020 15:30
* Specify technical architectures
* Implement and deploy semantic information systems that combine elements from modelling and knowledge engineering
* Apply validation methods in laboratory environments