SMART: A tool for analyzing and reconciling schema matching networks

Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Vinh Tuan Chau, Tri Kurniawan Wijaya, Zoltán Miklós, Karl Aberer, Avigdor Gal, Matthias Weidlich

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

Abstract

Schema matching supports data integration by establishing correspondences between the attributes of independently designed database schemas. In recent years, various tools for automatic pair-wise matching of schemas have been developed. Since the matching process is inherently uncertain, the correspondences generated by such tools are often validated by a human expert. In this work, we consider scenarios in which attribute correspondences are identified in a network of schemas and not only in a pairwise setting. Here, correspondences between different schemas are interrelated, so that incomplete and erroneous matching results propagate in the network and the validation of a correspondence by an expert has ripple effects. To analyse and reconcile such matchings in schema networks, we present the Schema Matching Analyzer and Reconciliation Tool (SMART). It allows for the definition of network-level integrity constraints for the matching and, based thereon, detects and visualizes inconsistencies of the matching. The tool also supports the reconciliation of a matching by guiding an expert in the validation process and by offering semi-automatic conflict-resolution techniques.

Original languageEnglish
Title of host publication2015 IEEE 31st International Conference on Data Engineering, ICDE 2015
Pages1488-1491
Number of pages4
ISBN (Electronic)9781479979639
DOIs
StatePublished - 26 May 2015
Event2015 31st IEEE International Conference on Data Engineering, ICDE 2015 - Seoul, Korea, Republic of
Duration: 13 Apr 201517 Apr 2015

Publication series

NameProceedings - International Conference on Data Engineering
Volume2015-May
ISSN (Print)1084-4627

Conference

Conference2015 31st IEEE International Conference on Data Engineering, ICDE 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period13/04/1517/04/15

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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