Paper Info
Title
Semantic similarity analysis of XML schema using grid computing
Abstract
A growing number of e-businesses have been using XML schemas in recent years. Schema mapping now plays a crucial role in integrating heterogeneous e-business 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.
Year
DOI
Venue
2009
10.1109/IRI.2009.5211607
IRI
Keywords
Field
DocType
hybrid similarity measure,service-oriented architecture,heterogeneous e-business application integration,sophisticated similarity analysis algorithm,xml schema,xml,schema mapping,semantic similarity analysis,different grid computing technology,grid computing,e-business integration,large-scale xml schema mapping,java,crucial role,mapping algorithm,xml schema mapping,software architecture,electronic commerce,message passing,grid computing technology,soa xml schema mapping,semantic similarity,service oriented architecture,computer architecture,algorithm design and analysis,simple object access protocol
Data mining,Document Schema Definition Languages,Efficient XML Interchange,Grid computing,XML,XML Schema (W3C),XML validation,Computer science,Document Structure Description,Theoretical computer science,XML schema
Conference
ISBN
Citations 
PageRank 
978-1-4244-4116-7
1
0.37
References 
Authors
10
4
Name
Order
Citations
PageRank
Jaewook Kim116324.38
Sookyoung Lee221012.59
Milton Halem38629.78
Yun Peng4101983.12