10 citations · 35 across the 24 of their papers we have counts for
6 papers · 2 filters
The Battleship Approach to the Low Resource Entity Matching Problem
Bar Genossar, Avigdor Gal, Roee Shraga
Entity matching, a core data integration problem, is the task of deciding whether two data tuples refer to the same real-world entity. Recent advances in deep learning methods, usi…
Generative Benchmark Creation for Table Union Search
Koyena Pal, Aamod Khatiwada, Roee Shraga +1
Data management has traditionally relied on synthetic data generators to generate structured benchmarks, like the TPC suite, where we can control important parameters like data siz…
LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance
Matan Solomon, Bar Genossar, Roee Shraga +1
Schema matching is a core data integration task, focusing on identifying correspondences among attributes of multiple schemata. Numerous algorithmic approaches were suggested for s…
DIALITE: Discover, Align and Integrate Open Data Tables
Aamod Khatiwada, Roee Shraga, Renée J. Miller
We demonstrate a novel table discovery pipeline called DIALITE that allows users to discover, integrate and analyze open data tables. DIALITE has three main stages. First, it allow…
SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines
Alexander Brinkmann, Roee Shraga, Christian Bizer
The goal of entity resolution is to identify records in multiple datasets that represent the same real-world entity. However, comparing all records across datasets can be computati…
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V (Technical Report)
Roee Shraga, Renée J. Miller
In multi-user environments in which data science and analysis is collaborative, multiple versions of the same datasets are generated. While managing and storing data versions has r…