10 citations · 35 across the 25 of their papers we have counts for
8 papers · 1 filter
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…
ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction
Alexander Brinkmann, Roee Shraga, Christian Bizer
E-commerce platforms require structured product data in the form of attribute-value pairs to offer features such as faceted product search or attribute-based product comparison. Ho…
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…
Product Information Extraction using ChatGPT
Alexander Brinkmann, Roee Shraga, Reng Chiz Der +1
Structured product data in the form of attribute/value pairs is the foundation of many e-commerce applications such as faceted product search, product comparison, and product recom…
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…