Semantic Similarity Analysis of XML Schema using Grid Computing
Links to Fileshttps://ieeexplore.ieee.org/document/5211607
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Type of Work6 pages
conference papers and proceedings preprints
Citation of Original PublicationJaewook 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.2009.5211607
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© 2009 IEEE
Service oriented architecture
Algorithm design and analysis
UMBC Ebiquity Research Group
A 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.