Semantic Similarity Analysis of XML Schema using Grid Computing

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dc.contributor.authorKim, Jaewook
dc.contributor.authorLee, Sookyoung
dc.contributor.authorHalem, Milton
dc.contributor.authorPeng, Yun
dc.date.accessioned2018-11-19T19:35:23Z
dc.date.available2018-11-19T19:35:23Z
dc.date.issued2009-08-10
dc.descriptionProceedings of the IEEE International Conference on Information Reuse and Integrationen_US
dc.description.abstractA growing number of e-businesses have been using XML schemas in recent years. Schema mapping now plays a crucial role in integrating heterogeneous ebusiness applications. Since large-scale XML schema mapping using complex and hybrid similarity measures requires significant amount of processing time, a sophisticated similarity analysis algorithm is needed to handle its complexity and performance. In this paper, we focus on designing a service-oriented architecture (SoA) for schema mapping, based on a grid computing technology in order to enhance the effectiveness of the mapping algorithm. After comparing three different grid computing technologies (MPJ, Hadoop, and Globus), we explain why MPJ is the most suitable. We propose SoA XML schema mapping based on MPJ, and demonstrate its performance.en_US
dc.description.sponsorshipThis work was supported in part by NIST award 60NANB6D6206.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/5211607en_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2QN5ZG1Z
dc.identifier.citationJaewook Kim, Sookyoung Lee, Milton Halem, and Yun Peng, Semantic Similarity Analysis of XML Schema using Grid Computing, Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009 , DOI: 10.1109/IRI.2009.5211607en_US
dc.identifier.uri10.1109/IRI.2009.5211607
dc.identifier.urihttp://hdl.handle.net/11603/12059
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2009 IEEE
dc.subjectelectronic commerceen_US
dc.subjectgrid computingen_US
dc.subjectmessage passingen_US
dc.subjectsoftware architectureen_US
dc.subjectService oriented architectureen_US
dc.subjectLarge-scale systemsen_US
dc.subjectComputer architectureen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectUMBC Ebiquity Research Group
dc.titleSemantic Similarity Analysis of XML Schema using Grid Computingen_US
dc.typeTexten_US

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