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

Tomer Sagi, Avigdor Gal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
PublisherIEEE Computer Society
Pages45-49
Number of pages5
ISBN (Print)9781479934805
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 - Chicago, IL, United States
Duration: 31 Mar 20144 Apr 2014

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
Country/TerritoryUnited States
CityChicago, IL
Period31/03/144/04/14

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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