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 to 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, and information retrieval enhanced by specialized seminars, master projects and we advise 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 datasets and source code.

Please do not hesitate to reach out directly to us, if you cannot find a paper, slides, or other research artifacts.

Gerardo Vitagliano

PhD Student

Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam

Phone: +49 331 5509 427
Room: F-2.05

Email: Gerardo Vitagliano

Research: ResearchGate, GitHub

As a Ph.D. student at the Information Systems Group and member of the HPI Research School, my research interests are on data preparation and information extraction.

I am most active in the research projects of the Data Preparation group, currently focusing on benchmarking data loading and embedding the structure of tabular data files.

Feel free to contact me for collaboration, thesis proposals, or anything closely or loosely related to these research interests:

Research Interests

Structural Data Preparation
Data Pollution
Representation Learning
Layout Inference in multiregion files

Projects

My research projects are all named after famous painters:

Pollock: A benchmark for CSV data loading
MaGRiTTE: Learning structural embeddings of data files
Mondrian: An approach for automatic recognition of layout templates in multiregion files

Publications

G. Vitagliano, M. Hameed, A. Sierra-Múnera, F. Naumann: Embedding File Structure for Data Preparation. Under revision.
G. Vitagliano, L. Reisener, M. Hameed, L. Jiang, E. Wu, F. Naumann: Pollock: A Data Loading Benchmark. PVLDB, 16(8):1870-1882, 2023. doi: 10.14778/3594512.3594518
G. Vitagliano, M. Hameed, F. Naumann: Structural embedding of data files with MaGRiTTE. Table Representation Learning Workshop at NeurIPS (TRL@NIPS), 2022.
G. Vitagliano, L. Reisener, L. Jiang, M. Hameed, F. Naumann: Mondrian: Spreadsheet Layout Detection. Proceedings of the International Conference on Management of Data (SIGMOD), 2022
M. Hameed, G. Vitagliano, L. Jiang, F. Naumann: SURAGH: Syntactic Pattern Matching to Identify Ill-Formed Records. Proceedings of the International Conference on Extending Database Technology (EDBT), 2022
L. Jiang, G. Vitagliano, M. Hameed, F. Naumann: Aggregation Detection in CSV Files. Proceedings of the International Conference on Extending Database Technology (EDBT), 2022
G. Vitagliano, L. Jiang, F. Naumann: Detecting Layout Templates in Complex Multiregion Files. PVLDB 15(3):646-658, 2021. doi: 10.14778/3494124.3494145
L. Jiang, G. Vitagliano, F. Naumann: Structure Detection in Verbose CSV Files. Proceedings of the International Conference on Extending Database Technology (EDBT), 2021
L. Jiang, G. Vitagliano, F. Naumann: A Scoring-based Approach for Data Preparator Suggestion. Lernen, Wissen, Daten, Analysen (LWDA), 2019