Kim, JaewookLee, SookyoungHalem, MiltonPeng, Yun2018-11-192018-11-192009-08-10Jaewook 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.2009.521160710.1109/IRI.2009.5211607http://hdl.handle.net/11603/12059Proceedings of the IEEE International Conference on Information Reuse and IntegrationA 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.6 pagesen-USThis 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.© 2009 IEEEelectronic commercegrid computingmessage passingsoftware architectureService oriented architectureLarge-scale systemsComputer architectureAlgorithm design and analysisUMBC Ebiquity Research GroupText