PRISMA: a privacy-preserving schema matcher using functional dependencies

  • Schema matching aims to find semantic correspondences between the columns of two schemas. Due to its high relevance in the field of data integration, it has been extensively studied in the literature. However, most matching approaches assume similarityof column names or instance data of the schemas to be matched and struggle when these are encoded differently, e.g., if they have been encrypted due to privacy requirements. We present Prisma, a novel encoding-independent schema matcher that utilizes functional dependencies to construct graph embeddings that exploit the encoding-independent structure of the schemas to be compared. We compare Prisma against multiple baseline matchers as well as state-of-the-art competitors. The experiments demonstrate that Prisma outperforms these approaches on databases that have large differences in their encodings, especially if these databases consist of multiple tables.

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Jan-Eric Hellenberg, Fabian Mahling, Lukas Laskowski, Felix Naumann, Matteo Paganelli, Fabian PanseGND
URN:urn:nbn:de:bvb:384-opus4-1173044
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117304
ISSN:2367-2005OPAC
Parent Title (English):Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025
Publisher:OpenProceedings
Place of publication:Konstanz
Editor:Alkis Simitsis, Bettina Kemme, Anna Queralt, Oscar Romero, Petar Jovanovic
Type:Conference Proceeding
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/12/04
First Page:297
Last Page:309
Series:Advances in Database Technology ; 28-2
DOI:https://doi.org/10.48786/edbt.2025.24
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Data Engineering
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

OPUS4 Logo