7 papers
Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching
Nicholas Pulsone, Gregory Goren, Roee Shraga
Entity Matching (EM) is a core operation in the data integration pipeline, where records from different sources are compared to determine whether they refer to the same real-world…
BEACON: Budget-Aware Entity Matching Across Domains (Extended Technical Report)
Nicholas Pulsone, Roee Shraga, Gregory Goren
Entity Matching (EM)--the task of determining whether two data records refer to the same real-world entity--is a core task in data integration. Recent advances in deep learning hav…
SAVeD: Semantic Aware Version Discovery
Artem Frenk, Roee Shraga
Our work introduces SAVeD (Semantically Aware Version Detection), a contrastive learning-based framework for identifying versions of structured datasets without relying on metadata…
3dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)
Bar Genossar, Sagi Dalyot, Roee Shraga +1
Urban environments are continuously mapped and modeled by various data collection platforms, including satellites, unmanned aerial vehicles and street cameras. The growing availabi…
Diverse Unionable Tuple Search: Novelty-Driven Discovery in Data Lakes [Technical Report]
Aamod Khatiwada, Roee Shraga, Renée J. Miller
Unionable table search techniques input a query table from a user and search for data lake tables that can contribute additional rows to the query table. The definition of unionabi…
Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
Sreeram Marimuthu, Nina Klimenkova, Roee Shraga
Data discovery and table unionability in particular became key tasks in modern Data Science. However, the human perspective for these tasks is still under-explored. Thus, this rese…