In schema matching, even experts are human: Towards expert sourcing in schema matching

Tomer Sagi, Avigdor Gal

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

8 Citationer (Scopus)

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.

OriginalsprogEngelsk
Titel2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
Antal sider5
ForlagIEEE Computer Society Press
Publikationsdato2014
Sider45-49
Artikelnummer6818301
ISBN (Trykt)9781479934805
DOI
StatusUdgivet - 2014
Udgivet eksterntJa
Begivenhed2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 - Chicago, IL, USA
Varighed: 31 mar. 20144 apr. 2014

Konference

Konference2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
Land/OmrådeUSA
ByChicago, IL
Periode31/03/201404/04/2014
NavnProceedings - International Conference on Data Engineering
ISSN1084-4627

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