Handling XML to Relational Database Transformation Using Model-Based Mapping Approaches


Haw, Su Cheng and Chua, Fang Fang and Song, Emyliana (2019) Handling XML to Relational Database Transformation Using Model-Based Mapping Approaches. In: 2018 IEEE Conference on Open Systems, ICOS 2018, 21-22 Nov. 2018, Langkawi, Malaysia.

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Entrepreneurs and organizations have been utilizing relational database as their data management system. This is because relational database offers reliability, simple indexing to organize data and maintaining data integrity by setting up defined constraints. Over the years, researchers developed a more versatile way of handling the data by using XML technology. Flexibility and ability to transform data into other formats without any loss of data attracts the researcher and community to propose various mapping approaches to transform XML into relational database. This paper reviews on the recent techniques, advantages and disadvantages of existing model-based mapping approaches.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: XML
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 11 Jan 2022 03:55
Last Modified: 11 Jan 2022 03:55
URII: http://shdl.mmu.edu.my/id/eprint/8964


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