PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching

The dataset used in the paper is a human matching dataset, consisting of 7,618 matching decisions from 175 human matchers over common benchmarks.

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Cite this as

Roee Shraga, Avigdor Gal (2025). Dataset: PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching. https://doi.org/10.57702/wvyw3yqp

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2109.07321
Author Roee Shraga
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Avigdor Gal
Homepage https://doi.org/10.1145/1122445.1122456