Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Felix Naumann. If you are interested in joining our team, please contact Felix Naumann.

For bachelor students we offer German lectures on database systems in addition with paper- or project-oriented seminars. Within a one-year bachelor project students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, search engines and information retrieval enhanced by specialized seminars, master projects and advised master theses.

Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our data sets and source code.

Open theses

The information systems group is always looking for good master students to write master's theses.

Please note that the list below is only a small sample of possible thesis topics and ideas. Please contact us to discuss further, to find new topics, or to suggest a topic of your own.

For more information about writing a master's theses in our group, please see here.

Database Group

In the Database Group, we are particularly interested in structured data.

Web Science Group

In the Web Science Group, we are particularly interested in Text Mining to deal with the vast amount of unstructured and semi-structured data (on the Web). If you are too, maybe some of the following topics spark your interest.

Text Corpus Exploration

Cultural Heritage and Knowledge Bases

Chair

Prof. Dr. Felix Naumann

Information Systems

E-Mail: felix.naumann(at)hpi.de

Assistant: Diana Stephan

Office: Campus II, House F, F-2.01
Tel.: +49 (0)331 5509-280
Fax: +49 (0)331 5509-287
E-Mail: office-naumann(at)hpi.de

To visit us, please see these directions.

News

25.11.2020 | Congratulations Ioannis Koumarelas!

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10.11.2020 | Paper accepted at FAPER workshop in conjunction with ICPR 2020

Our full paper titled "Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic … > Go to article

27.10.2020 | Paper accepted at WI-IAT 2020

We are excited to announce that our full paper "HyCoNN: Hybrid Cooperative Neural Networks for Personalized News … > Go to article

14.09.2020 | Poster accepted at ISWC 2020

We are happy to announce that our poster submission for the International Semantic Web Conference 2020 has been … > Go to article

07.09.2020 | Paper accepted at SIGMOD Record

We are happy to announce that our survey paper "Data Preparation: A Survey of Commercial Tools" by Mazhar Hameed and … > Go to article

Project highlights

Metanome: Big Data Profiling

Data Preparation

Janus: Change exploration

Stratosphere: Big Data Analytics