46 citations · 47 across the 5 of their papers we have counts for
5 papers
Discovery-Driven Integration of Disjoint Tables via Text
Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero +1
Integrating heterogeneous datasets within data lakes is a critical challenge, particularly for semantically related tables that lack the explicit attributes needed to be joined. We…
Text Data Integration
Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero +1
Data comes in many forms. From a shallow perspective, they can be viewed as being either in structured (e.g., as a relation, as key-value pairs) or unstructured (e.g., text, image)…
Measuring and Predicting the Quality of a Join for Data Discovery
Sergi Nadal, Raquel Panadero, Javier Flores +1
We study the problem of discovering joinable datasets at scale. We approach the problem from a learning perspective relying on profiles. These are succinct representations that cap…
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…
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…