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Keyword Search on XML Repository with Relevance Ranking

by Swati Tonge, Rashmi Phalnikar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 17
Year of Publication: 2012
Authors: Swati Tonge, Rashmi Phalnikar
10.5120/4910-7439

Swati Tonge, Rashmi Phalnikar . Keyword Search on XML Repository with Relevance Ranking. International Journal of Computer Applications. 39, 17 ( February 2012), 7-10. DOI=10.5120/4910-7439

@article{ 10.5120/4910-7439,
author = { Swati Tonge, Rashmi Phalnikar },
title = { Keyword Search on XML Repository with Relevance Ranking },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 17 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number17/4910-7439/ },
doi = { 10.5120/4910-7439 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:38.757933+05:30
%A Swati Tonge
%A Rashmi Phalnikar
%T Keyword Search on XML Repository with Relevance Ranking
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 17
%P 7-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Extensible Markup Language (XML) is a simple text format which was designed to describe data using custom tags. The use of custom tags makes XML extremely flexible and enables it to not only describe structured data like information from a table of relational database but also semi-structured data. An XML document is self-describing which has made it a standard means of data exchange between applications and for use in configuration files of enterprise applications. The increasing preference to store and transmit data in the XML format has led to a need for searching these data stores for information. Query languages like Xpath and XQuery are used to retrieve information from xml document. But these query languages are complex for non expert user to learn. Keyword search allows such user to retrieve information without knowledge of complex query language. In this paper we proposed an algorithm for relevance ranking of nodes which retrieved as result by considering keyword ambiguity and intension of user.

References
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Index Terms

Computer Science
Information Sciences

Keywords

XML Natural Processing Keyword Search Relevance Ranking

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