期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：423-430
出版社：TechScience Publications
摘要：Over the years internet has become essential part of extensive business applications to exchange or restructure large amounts of business information. Relational database (RDB) is normally used for traditional data processing, where as Extensible Markup Language documents (XML Documents) are widely useful for performing online conversation in B2B applications. In fact XML data formats may be treated as de facto standard of data representation and exchange format for massive amount of enterprise information over the web. Performance of the application depends on both type of the data structures used and the type of the information maintained in the structures. Resource Description Framework (RDF) of semantic web uses XML to describe an Internet resource as a directed graph to provide a mechanism for describing the machine understandable meaning of any document. In this paper performance analysis is conducted for XML conversion tools developed by the authors with some of the existing tools on some selected datasets. In this analysis JDBC is used to extract data from relational datasets and Java XML Parsers to parse and extract the XML datasets. Experiments show that, the tools developed by the authors produce XML documents efficiently with high scalability than the existing tools
