Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ins.2004.02.013
DC FieldValue
dc.titleXML application schema matching using similarity measure and relaxation labeling
dc.contributor.authorYi, S.
dc.contributor.authorHuang, B.
dc.contributor.authorChan, W.T.
dc.date.accessioned2014-06-17T08:27:58Z
dc.date.available2014-06-17T08:27:58Z
dc.date.issued2005-01-06
dc.identifier.citationYi, S., Huang, B., Chan, W.T. (2005-01-06). XML application schema matching using similarity measure and relaxation labeling. Information Sciences 169 (1-2) : 27-46. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ins.2004.02.013
dc.identifier.issn00200255
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66421
dc.description.abstractInformation integration for distributed and heterogeneous data sources is still an open challenging, and schema matching is critical in this process. This paper presents an approach to automatic elements matching between XML application schemas using similarity measure and relaxation labeling. The semantic modeling of XML application schema has also been presented. The similarity measure method considers element categories and their properties. In an effort to achieve an optimal matching, contextual constraints are used in the relaxation labeling method. Based on the semantic modeling of XML application schemas, the compatible constraint coefficients are devised in terms of the structures and semantic relationships as defined in the semantic model. To examine the effectiveness of the proposed methods, an algorithm for XML schema matching has been developed, and corresponding computational experiments show that the proposed approach has a high degree of accuracy. © 2004 Elsevier Inc. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ins.2004.02.013
dc.sourceScopus
dc.subjectElements matching
dc.subjectInformation integration
dc.subjectRelaxation labeling
dc.subjectSimilarity measure
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.ins.2004.02.013
dc.description.sourcetitleInformation Sciences
dc.description.volume169
dc.description.issue1-2
dc.description.page27-46
dc.description.codenISIJB
dc.identifier.isiut000226749700002
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.