Context Based Diversification for Keyword Queries Over XML Data Using Improved Information Retrieval Query Model

Sayalee Suradkar , Mrs. S. A. Kinariwala , Mr. R. B. Patil

XML keyword search, context-based diversification

Although keyword search terms can help people find a lot of information, the ambiguity of the keyword search query makes search query responses more efficient, especially for short keywords and obscure. By solving this challenge, in this article, we will propose ways to make it easier to find contextual XML keywords in XML data, short and vague keyword queries, and XML data. It comes from a search query using a simple property selection style. We then designed a powerful XML keyword analysis model to measure the quality of each candidate. Then propose two algorithms to determine the highest search order for the researchers. Two selection criteria are targeted: K. The selected research participant will be the most relevant for the search term while the maximum number of results is covered. At the end of the detailed evaluation, real data and summary data, we demonstrate the effectiveness of the proposed distribution model and our algorithm.

Published Paper   E-Certificate

"Context Based Diversification for Keyword Queries Over XML Data Using Improved Information Retrieval Query Model", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 10, page no.363 - 370, October-2020, Available :https://ijsdr.org/papers/IJSDR2010056.pdf

Volume 5 Issue 10, October-2020

Pages : 363 - 370

Paper Reg. ID: IJSDR_192670

Published Paper Id: IJSDR2010056

Downloads: 000347159

Research Area: Engineering

Country: AURANGABAD, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2010056

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2010056

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition