46 citations · 83 across the 5 of their papers we have counts for
5 papers
Scalable Data Discovery Using Profiles
Javier Flores, Sergi Nadal, Oscar Romero
We study the problem of discovering joinable datasets at scale. This is, how to automatically discover pairs of attributes in a massive collection of independent, heterogeneous dat…
High-Level ETL for Semantic Data Warehouses -- Full Version
Rudra Pratap Deb Nath, Oscar Romero, Torben Bach Pedersen +1
The popularity of the Semantic Web (SW) encourages organizations to organize and publish semantic data using the RDF model. This growth poses new requirements to Business Intellige…
A Cost-based Storage Format Selector for Materialization in Big Data Frameworks
Rana Faisal Munir, Alberto Abelló, Oscar Romero +2
Modern big data frameworks (such as Hadoop and Spark) allow multiple users to do large-scale analysis simultaneously. Typically, users deploy Data-Intensive Workflows (DIWs) for th…
An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems
Sergi Nadal, Oscar Romero, Alberto Abelló +2
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by me…
GRAD: On Graph Database Modeling
Amine Ghrab, Oscar Romero, Sabri Skhiri +2
Graph databases have emerged as the fundamental technology underpinning trendy application domains where traditional databases are not well-equipped to handle complex graph data. H…