| Vol-3369 urn:nbn:de:0074-3369-2 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DOLAP 2023
Design, Optimization, Languages and Analytical Processing of Big Data 2023

### Proceedings of the 25th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)
co-located with the 26th International Conference on Extending Database Technology and the 26th International Conference on Database Theory (EDBT/ICDT 2023)

### Ioannina, Greece, March 28, 2023.

Edited by

### Enrico Gallinucci *
Lukasz Golab **

* University of Bologna, Italy
** University of Waterloo, Canada

## Table of Contents

### Invited Talks

- The Quest for Schemas in Graph Databases (keynote) 1-2
  Angela Bonifati
- The History, Present, and Future of ETL Technology (invited) 3-12
  Alkis Simitsis, Spiros Skiadopoulos, Panos Vassiliadis

### Regular papers

- Assessment Methods for the Interestingness of Cube Queries 13-22
  Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Veronika Peralta, Patrick Marcel, Panos Vassiliadis
- GAMM: Graph-Based Agile Multidimensional Model 23-32
  Redha Benhissen, Fadila Bentayeb, Omar Boussaid
- Text Similarity Measures in a Data Deduplication Pipeline for Customers Records 33-42
  Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Mariusz Sienkiewicz, Robert Wrembel
- The Whys and Wherefores of Cubes 43-50
  Matteo Francia, Stefano Rizzi, Patrick Marcel
- MDPrep: Data Preparation for Metadata Management 51-60
  Hiba Khalid, Esteban Zimányi
- Tabular Open Government Data Search for Data Spaces based on Word Embeddings 61-70
  Alberto Berenguer, David Tomás, Jose-Norberto Mazón

### Short papers

- Cube Query Answering via the Results of Previous Cube Queries 71-75
  Panos Vassiliadis
- Data Source Connectors Layer as a Service - Design Patterns 76-80
  Michal Bodziony, Robert Wrembel
- Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets 81-85
  Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael Gubanov
- Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets 86-90
  Michael Gubanov, Anna Pyayt, Sophie Pavia
- Pairwise Loss Regularization for Recommendations Explanation 91-95
  Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Willeme Verdeaux
- MDClean: Cleaning and Enhancing Raw Metadata Files 96-100
  Hiba Khalid, Esteban Zimányi

2023-03-23: submitted by Enrico Gallinucci, metadata incl. bibliographic data published under Creative Commons CC0
2023-04-04: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|