International Journal of Advanced Information and Communication Technology


Resulting Approximate Queries using XML Data

S. S. Jaya, G. Sathish Kumar, S. Hari Priya, Eldose Paul, V. Vinitha, RVS College of Engineering and Technology, Coimbatore, Tamilnadu, India.

International Journal of Advanced Information and Communication Technology

Received On : November 09, 2020

Revised On : December 12, 2020

Accepted On : December 12, 2020

Published On : February 05, 2020

Volume 07, Issue 02

Pages : 031-032

Abstract


Daunting for users to formulate precise queries and search correct answers. Therefore, approximate matching is introduced to trot out the problem in respondent users’ queries, and this matching might be addressed by 1st reposeful the structure and content of a given question, so longing for answers that match the relaxed queries. Ranking and returning the foremost relevant results of a question became the foremost widespread paradigm in XML query process. However, the present proposals don't adequately take structures into consideration and those them so lack the strength to elegantly mix structures with contents to answer the relaxed queries. To handle this drawback, we have a tendency to 1st propose a classy framework of question relaxations for supporting approximate queries over XML information. The answers underlying this framework aren't compelled to strictly satisfy the given question formulation, instead they will be based on properties inferable from the initial question. we have a tendency to then develop a unique top-k retrieval approach.

Keywords


XML; XML Data; File upload.

Cite this article


S. S. Jaya, G. Sathish Kumar, S. Hari Priya, Eldose Paul, V. Vinitha, “Resulting Approximate Queries using XML Data,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 31–32, Feb. 2020.

Copyright


© 2020 S. S. Jaya, G. Sathish Kumar, S. Hari Priya, Eldose Paul, V. Vinitha. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.