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Article: XML application schema matching using similarity measure and relaxation labeling

TitleXML application schema matching using similarity measure and relaxation labeling
Authors
KeywordsElements matching
Information integration
Relaxation labeling
Similarity measure
Issue Date2005
Citation
Information Sciences, 2005, v. 169, n. 1-2, p. 27-46 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/330048
ISSN
2022 Impact Factor: 8.1
2023 SCImago Journal Rankings: 2.238
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYi, Shanzhen-
dc.contributor.authorHuang, Bo-
dc.contributor.authorChan, Weng Tat-
dc.date.accessioned2023-08-09T03:37:25Z-
dc.date.available2023-08-09T03:37:25Z-
dc.date.issued2005-
dc.identifier.citationInformation Sciences, 2005, v. 169, n. 1-2, p. 27-46-
dc.identifier.issn0020-0255-
dc.identifier.urihttp://hdl.handle.net/10722/330048-
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.languageeng-
dc.relation.ispartofInformation Sciences-
dc.subjectElements matching-
dc.subjectInformation integration-
dc.subjectRelaxation labeling-
dc.subjectSimilarity measure-
dc.titleXML application schema matching using similarity measure and relaxation labeling-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ins.2004.02.013-
dc.identifier.scopuseid_2-s2.0-10844289527-
dc.identifier.volume169-
dc.identifier.issue1-2-
dc.identifier.spage27-
dc.identifier.epage46-
dc.identifier.isiWOS:000226749700002-

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