@inproceedings{7d524ceb7b1341cb9627004f60247b34,
title = "In schema matching, even experts are human: Towards expert sourcing in schema matching",
abstract = "Schema matching problems have been historically defined as a semi-automated task in which correspondences are generated by matching algorithms and subsequently validated by a single human expert. Emerging alternative models are based upon piecemeal human validation of algorithmic results and the usage of crowd based validation. We propose an alternative model in which human and algorithmic matchers are given more symmetric roles. Under this model, better insight into the respective strengths and weaknesses of human and algorithmic matchers is required. We present initial insights from a pilot study conducted and outline future work in this area.",
author = "Tomer Sagi and Avigdor Gal",
year = "2014",
doi = "10.1109/ICDEW.2014.6818301",
language = "English",
isbn = "9781479934805",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society Press",
pages = "45--49",
booktitle = "2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014",
address = "United States",
note = "2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 ; Conference date: 31-03-2014 Through 04-04-2014",
}