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 detecting layout templates in multiregion 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

Pollock: A benchmark for CSV data loading.
Mondrian: An approach for automatic recognition of layout templates in multiregion files.

Publications

G. Vitagliano, L. Jiang, M. Hameed, F. Naumann: Mondrian: Spreadsheet Layout Detection. In preparation
G. Vitagliano, L. Jiang, M. Hameed, F. Naumann: Pollock: A Data Loading Benchmark. In preparation
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) - submitted, 2022
L. Jiang, G. Vitagliano, M. Hameed, F. Naumann: Aggregation Detection in CSV Files. Proceedings of the International Conference on Extending Database Technology (EDBT) - submitted, 2022
G. Vitagliano, L. Jiang, F. Naumann: Detecting Layout Templates in Complex Multiregion Files. PVLDB. Accepted (2021).
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

Table Recognition. Seminar, Summer Semester 2021
Data Preparation for Science. Seminar, Winter Semester 2018/19

Chair

Prof. Dr. Felix Naumann

Information Systems

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

Assistant: Anna Zobel

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

03.05.2022 | Paper accepted - Bulletin of the Technical Committee on Data Engineering

We are happy to announce the acceptance of the paper "Bulleting of the Technical Committee on Data Engineering". > Go to article

11.04.2022 | Accepted poster at the ESWC 2022 conference

We are excited that our work on the canonicalization of relations in Open IE triples has been accepted as a poster at … > Go to article

31.03.2022 | Paper on automated construction of Art-historic KG accepted at ESWC workshop

Our work on the automated construction of an art-historic KG from unstructured corpora has been accepted at the … > Go to article

18.03.2022 | How Inclusive are We?

Interview with Master´s student Nele Sina Noack > Go to article

22.02.2022 | Demo Paper Accepted at SIGMOD 2022

We are excited to announce that our demo paper titled "Mondrian: Spreadsheet Layout Detection" has been accepted at the … > Go to article

Project highlights

Metanome: Big Data Profiling

Data Preparation

Janus: Change exploration

KITQAR: AI and Data Quality