Thesis Topics
DSIS research group offers a variety of topics for Master and Bachelor Theses in Data Analytics, Information Retrieval and Semantic Technologies.
We provide a selection of topics for Master and Bachelor Theses in Data Analytics, Information Retrieval and Semantic Technologies. If you are interested in one of the topics, please first contact the thesis mentor to discuss the topic.
Information on topics in SS22 will be published here.
Information regarding Master Thesis seminar is provided on eCampus.
Current offers | Bachelor/Master | Contact person |
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Ongoing | Bachelor/Master | Contact Person |
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Subtopic Relation Extraction for Knowledge Graph of Learning Concepts |
M | Dr. Ran Yu |
Trajectory to User Linking (TUL) based on heterogeneous sparse data |
M | Rajjat Dadwal |
Schema Alignment of OpenStreetMap and Knowledge Graphs on Property Level |
M | Alishiba Dsouza |
Large-Scale Discovery of Research Datasets |
M | Dr. Sergej Zerr |
Language Models for Entity Typing |
M | Sara Abdollahi |
Towards a Global Company Knowledge Graph |
M | Marco Markwald |
Cluster-based Concept Learning for Travel Time Forecasting |
M | Steve Gounoue |
Completed | Bachelor/Master | Author |
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Constructing and Evaluating State-aware Evaluation Metrics for Interactive IR | M |
Marco Markwald |
Verknüpfung von Straßennamen in OpenStreetMap mit Personen in Wissensgraphen | B | Daria Gurtovoy |
A comparative analysis of deep learning models for time series anomaly detection | M | Karim Baidar |
Representation Learning Algorithms for Road Intersections | M |
Reema Iyer |
Predicting Links between Places and Historical Events in Knowledge Graphs | M |
Shobith Anil Kumar |
Learning Transferable Trajectory Representations | M | Dhruvan Ganesh |