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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

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.
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
Comparing Communities and Topics in Wikipedias
Investigate the relationship between communities and topics by applying overlapping community detection to the social network of contributors and subsets of intrawiki link networks on different Wikipedias.
Semantic Data Profi ling in Data Lake
Ansari, Jasim Waheed in 2018; Supervised by Prof. Dr. Stefan Decker; Advisor(s): Dr. Oya Deniz Beyan, Naila Karim, Dr. Michael Cochez
Scope of the thesis is to extend current semantic pro ling efforts for data lakes with ontologies enrichment. Develop tools to systematically extract, manage and exploit metadata of the datasets' information and display the updated datasets with semantic or syntactic correct results.