Abstract
Extensible Markup Language (XML) technology is widely used for data exchange and data representation in both online and offline mode. This structured format language able to be transformed into other formats and share information across platforms. XML is simple; however, it is designed to accommodate changes. For this paper, a study on transformation of XML document into relational database is conducted. Crucial part of this process is how to maintain the hierarchy and relationships between data in the document into database. Approaches that are discussed in this paper each uses own unique way of data storing technique and database design. Therefore, each algorithm is assessed with three datasets constitute of small, medium and large size XML file. The efficiency of the algorithms is being tested on time taken for data storing and query execution process. At the end of the evaluation, we discuss factors that affect algorithm performance and present suggestions to improve mapping scheme for future works
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