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A Semi-automatic Approach to Reduce Uncertainty of Schema Matching

  • Beihang University

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

Abstract

Schema matching is a prime problem in data integration domain. Some well-known automated tools have been provided to accomplish the task of schema matching, but the results generated by these tools are often uncertain. The uncertainty is universally inherent because of the inability of schema to fully capture the semantics of the represented data. We propose the method to a semi-automatic approach to reduce the uncertainty of schema matching. Our experimental results shows that the approach is able to reduce the uncertainty and improve the precision and recall.

Original languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
EditorsShaozi Li, Yun Cheng, Ying Dai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-98
Number of pages4
ISBN (Electronic)9781509025350
DOIs
StatePublished - 31 Oct 2016
Event3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China
Duration: 8 Jul 201610 Jul 2016

Publication series

NameProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

Conference

Conference3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Country/TerritoryChina
CityBeijing
Period8/07/1610/07/16

Keywords

  • Schema matching
  • Semi-automatic approach
  • Uncertainty

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