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Technique for Transformation of Data From RDB to XML Then to RDF

Technique for Transformation of Data From RDB to XML Then to RDF

Kaleem Razzaq Malik, Tauqir Ahmad
Copyright: © 2017 |Pages: 22
ISBN13: 9781522524830|ISBN10: 1522524835|EISBN13: 9781522524847
DOI: 10.4018/978-1-5225-2483-0.ch004
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MLA

Malik, Kaleem Razzaq, and Tauqir Ahmad. "Technique for Transformation of Data From RDB to XML Then to RDF." Web Semantics for Textual and Visual Information Retrieval, edited by Aarti Singh, et al., IGI Global, 2017, pp. 70-91. https://doi.org/10.4018/978-1-5225-2483-0.ch004

APA

Malik, K. R. & Ahmad, T. (2017). Technique for Transformation of Data From RDB to XML Then to RDF. In A. Singh, N. Dey, A. Ashour, & V. Santhi (Eds.), Web Semantics for Textual and Visual Information Retrieval (pp. 70-91). IGI Global. https://doi.org/10.4018/978-1-5225-2483-0.ch004

Chicago

Malik, Kaleem Razzaq, and Tauqir Ahmad. "Technique for Transformation of Data From RDB to XML Then to RDF." In Web Semantics for Textual and Visual Information Retrieval, edited by Aarti Singh, et al., 70-91. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2483-0.ch004

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Abstract

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

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