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

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