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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
Tel +49/241/8021501
Fax +49/241/8022321

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Completed Theses

Concept embeddings for Wikipedia across language editions
Felix Ingenerf in 2019; Supervised by Prof. Dr. Markus Strohmaier, Prof. Dr. Stefan Decker; Advisor(s): Dr. Florian Lemmerich, Dr. Michael Cochez
Wikipedia is a free and openly available source of information curated by users. The content available varies between language versions. The question is now whether the content available, and specifically the associations between articles, is dependent or influenced by cultural differences between users (readers and editors) in different parts of the world. In this thesis the student investigates whether these could be found trough graph embeddings which are created on the Wikipedia link graph, the graph formed by interactions with Wikipedia and a graph formed by measuring similarity between pages.
Identifying Media-Specific and Time-Dependent Patterns in Community Success Models
Jia Lai in 2019; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke
Assuming that best practices for organizing work and learning emerge from the visual analytics and comparison of real communities, the goal of this thesis is to analyze media transcription processes from real communities using data mining and machine learning.
Development of a Mobile User Interface for a Bike Sharing System
- Use case analysis - UI paper prototyping - Mobile user interface design - Reference model design - Mobile application prototype implementation and generalization - Reference model evaluation
Decentralized Service Registry and Discovery in P2P Networks with Blockchain Technology
Tom Janson in 2019; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Peter de Lange, M.Sc.
The goal of this thesis is the development of a distributed service registry and discovery system for las2peer. Conceptually, it should be built on the aforementioned previous results, namely the service discovery system, the application store and the community success measurement system. Technically, a blockchain-based solution should be developed that both allows and enforces developers to add their services to a community-blockchain, which can be used for authenticating service-origin as well as for inspection of available services throughout the network, including a connection to their success measurement.
Bachelor, Master
Including Attributes in a Graph Embedding
Lenssen, Jerome in 2018; Supervised by Prof. Dr. Stefan Decker, Prof. Wil van der Aalst, Dr.; Advisor(s): Dr. Michael Cochez
Lately several methods for embedding graphs nodes into a vector space have been proposed. These embeddings can then used to train other machine learning models. Most approaches will, however, only keep relations between nodes representing entities in the graph into account. If the graph also has nodes representing literal values (numbers, strings, etc.) then they are ignored. In this thesis, the student will investigate how these attributes can be included in the embedding.
Machine Vision im Umfeld der Mensch-Roboter-Kollaboration auf Basis der Microsoft Kinect
Justin Krause in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Thomas Gries; Advisor(s): Marius Wiche, Florian Brillowski, Dipl.-Medieninf. István Koren
Das Ziel der Bachelorarbeit ist es, die Erkennung von Menschen im Nahfeld Roboter in einem industriellen Umfeld zu realisieren. Hierbei wird eine kostengünstige und weit verbreitete 3D-Kamera mit einer offenen Schnittstelle verwendet, die Microsoft Kinect V2. Sie stellt die nötigen Tiefeninformationen in Form einer Punktwolke zur Verfügung. Ein KUKA Greifarmroboter am ITA-Preformcenter wird dabei während der Entwicklung verwendet. Die Kommunikation zwischen der Kinect und der Bilderfassung soll dabei über MQTT, einem zeitgemäßen IoT Protokoll in industriellen Umgebungen, erfolgen. Durch eine umfassende Evaluation wird ausgewertet, wie zuverlässig die Erkennung funktioniert.
Travel Assistance using Natural Language
Previously, we developed approaches and solutions for travel assistance using e.g. a wearable device, as well as a prototype for a natural language travel information system. We'd like to combine these two approaches into a combined prototype and test it in the field.
Model-Driven Construction & Utilization of Social Bots for Technology Enhanced Learning
Neumann, Alexander in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Peter de Lange, M.Sc.
Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media.
Automatic for the People - Open Badge based Learning Assessment
Daniel Schruff in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke
Assigning automatically badges that reflect the learning progress of self-directed learners.
Data Analysis in the Industry Inferring causal relations in Industrial Data
Syed, Muhammad Ali in 2018; Supervised by Prof. Dr. Matthias Jarke, Prof. Dr. Christoph Quix; Advisor(s): Dr. Christoph Paulitsch, Dr.-Ing. Matthias Loskyll