Information Systems Group
Hasso-Plattner-Institut
Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
 

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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.

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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.

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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.

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

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Gerardo Vitagliano

Former PhD Student

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

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

Email: Gerardo Vitagliano

Personal website

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

Teaching

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
E-Mail: office-naumann(at)hpi.de

 

To visit us, please see these directions.

News

06.10.2024 | Paper accepted at EDBT 2025

> Zum Artikel

06.09.2024 | Congratulations Dr. Phillip Wenig

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06.09.2024 | Congratulations Dr. Mazhar Hameed!

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16.07.2024 | Congratulations Dr. Leon Bornemann-Paulus!

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23.05.2024 | Paper accepted at NLDB 2024

We are excited to announce that our paper "Shact: Disentangling and Clustering Latent Syntactic Structures from … > Zum Artikel

Project highlights

Metanome: Big Data Profiling

Data Preparation

Janus: Change exploration

KITQAR: AI and Data Quality

People and open positions