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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Friday 28 April 2017

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An Overview of Uniqueness and Novelty of XDMA for Data-Centric XML Datasets


Volume 32, Issue 1, August 2017, Pages 1–4

 An Overview of Uniqueness and Novelty of XDMA for Data-Centric XML Datasets

S. Selvaganesan and G.V. Shrichandran

Original language: English

Received 15 February 2017

Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


In XML keyword search, the exact detection of user’s intention while searching, and grading of the result in the existence of query keyword ambiguities have been difficult problems. In recent times, many keyword search approaches for XML databases have been developed to resolve these problems. XML keyword search using Dual indexing and Mutual summation based Algorithm (XDMA) is one among the prominent keyword search approaches for data-centric XML Datasets. Also, it is proved that XDMA is more effective in keyword search for data-centric XML datasets. In this paper, we present precisely the uniqueness and novel features of XDMA in comparison with other keyword search approaches for XML databases.

Author Keywords: XDMA, Keyword Search, XML Databases, Data-Centric XML Datasets.


How to Cite this Article


S. Selvaganesan and G.V. Shrichandran, “An Overview of Uniqueness and Novelty of XDMA for Data-Centric XML Datasets,” International Journal of Innovation and Scientific Research, vol. 32, no. 1, pp. 1–4, August 2017.