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Document Retrieval using Multilingual Keywords

Deepika Singh T., Meghna Peswani, Piyush Mantri, Sagar Bhojwani. Published in Databases.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Deepika Singh T., Meghna Peswani, Piyush Mantri, Sagar Bhojwani
10.5120/cae2015652003

Deepika Singh T., Meghna Peswani, Piyush Mantri and Sagar Bhojwani. Article: Document Retrieval using Multilingual Keywords. Communications on Applied Electronics 3(8):5-9, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Deepika Singh T. and Meghna Peswani and Piyush Mantri and Sagar Bhojwani},
	title = {Article: Document Retrieval using Multilingual Keywords},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {3},
	number = {8},
	pages = {5-9},
	month = {December},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Maintenance of information is a serious issue. Easy retrieval of information is often deprived when it is needed, and it is not always feasible to remember the exact file name when searching for a specific document. To address this issue keywords can be used in a system that help in retrieving the desired files by ensuring proper management of data. The designed system will help the user to retrieve data instantly and efficiently. A list of multilingual keywords is defined for every document on the database. The user input keywords are compared with the keywords from the database and the relevant searches are formulated in the form of query which is then output to the user as a list of relevant documents which have been retrieved. This paper will give an in depth knowledge on how keywords in more than one language can be used to access data instantly and effectively.

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Keywords

Keyword mapping, multilingual, indexing, information retrieval