Bibliographic data retrieval using query optimization techniques in Mongodb

Citation

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

Abstract

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.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.5373/JARDCS/V12SP4/20201632
Publisher:	Institute of Advanced Scientific Research
Keywords:	NoSQL; Data; Digital Bibliography and Library Project
Depositing User:	Ms. Nuraida Ibrahim
Date Deposited:	24 May 2022 04:44
Last Modified:	24 May 2022 04:44
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5373/JARDCS/V12SP4/20201632
URI:	http://psasir.upm.edu.my/id/eprint/88019
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