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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

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Additional Info

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