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Bibliographic data retrieval using query optimization techniques in Mongodb

The rise of unstructured, semi structured and structured data making the data exploration task more and more challenging. The technologies are evolving especially the databases to tackle the rapidly growing data to get a meaningful insight. NoSQL (Not Only SQL) comes into picture to manage the disti...

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Main Authors: Ramasamy, Chitra, Zolkepli, Maslina
Format: Article
Language:English
Published: Institute of Advanced Scientific Research 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88019/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88019/
https://www.jardcs.org/abstract.php?id=3732
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spelling my.upm.eprints.880192022-05-24T04:44:18Z http://psasir.upm.edu.my/id/eprint/88019/ Bibliographic data retrieval using query optimization techniques in Mongodb Ramasamy, Chitra Zolkepli, Maslina The rise of unstructured, semi structured and structured data making the data exploration task more and more challenging. The technologies are evolving especially the databases to tackle the rapidly growing data to get a meaningful insight. NoSQL (Not Only SQL) comes into picture to manage the distinguished characteristics of big data. The publications recorded in Digital Bibliography and Library Project (DBLP) also increasing steadily from 1936 until 2019 reaching the number 4,886,660 publications. A proper storage and retrieval technique are needed to get these data to be available for view with faster response time for any young researchers comes into the computer science field. This paper will be exploring the query optimization techniques in MongoDB using bibliographic data. Institute of Advanced Scientific Research 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88019/1/ABSTRACT.pdf Ramasamy, Chitra and Zolkepli, Maslina (2020) Bibliographic data retrieval using query optimization techniques in Mongodb. Journal of Advanced Research in Dynamical and Control Systems, 12 (spec.4). 1524 - 1532. ISSN 1943-023X https://www.jardcs.org/abstract.php?id=3732 10.5373/JARDCS/V12SP4/20201632
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The rise of unstructured, semi structured and structured data making the data exploration task more and more challenging. The technologies are evolving especially the databases to tackle the rapidly growing data to get a meaningful insight. NoSQL (Not Only SQL) comes into picture to manage the distinguished characteristics of big data. The publications recorded in Digital Bibliography and Library Project (DBLP) also increasing steadily from 1936 until 2019 reaching the number 4,886,660 publications. A proper storage and retrieval technique are needed to get these data to be available for view with faster response time for any young researchers comes into the computer science field. This paper will be exploring the query optimization techniques in MongoDB using bibliographic data.
format Article
author Ramasamy, Chitra
Zolkepli, Maslina
spellingShingle Ramasamy, Chitra
Zolkepli, Maslina
Bibliographic data retrieval using query optimization techniques in Mongodb
author_facet Ramasamy, Chitra
Zolkepli, Maslina
author_sort Ramasamy, Chitra
title Bibliographic data retrieval using query optimization techniques in Mongodb
title_short Bibliographic data retrieval using query optimization techniques in Mongodb
title_full Bibliographic data retrieval using query optimization techniques in Mongodb
title_fullStr Bibliographic data retrieval using query optimization techniques in Mongodb
title_full_unstemmed Bibliographic data retrieval using query optimization techniques in Mongodb
title_sort bibliographic data retrieval using query optimization techniques in mongodb
publisher Institute of Advanced Scientific Research
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88019/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88019/
https://www.jardcs.org/abstract.php?id=3732
_version_ 1734301607088095232
score 13.209306

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