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Efficient Storage and Accessing Through Query Process

M. Kalaivani1 , J.Jayanthi 2 , S.Hareesh 3

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 365-367, Mar-2018

Online published on Mar 31, 2018

Copyright © M. Kalaivani, J.Jayanthi, S.Hareesh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Kalaivani, J.Jayanthi, S.Hareesh, “Efficient Storage and Accessing Through Query Process,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.365-367, 2018.

MLA Style Citation: M. Kalaivani, J.Jayanthi, S.Hareesh "Efficient Storage and Accessing Through Query Process." International Journal of Computer Sciences and Engineering 06.02 (2018): 365-367.

APA Style Citation: M. Kalaivani, J.Jayanthi, S.Hareesh, (2018). Efficient Storage and Accessing Through Query Process. International Journal of Computer Sciences and Engineering, 06(02), 365-367.

BibTex Style Citation:
@article{Kalaivani_2018,
author = {M. Kalaivani, J.Jayanthi, S.Hareesh},
title = {Efficient Storage and Accessing Through Query Process},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {365-367},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=266},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=266
TI - Efficient Storage and Accessing Through Query Process
T2 - International Journal of Computer Sciences and Engineering
AU - M. Kalaivani, J.Jayanthi, S.Hareesh
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 365-367
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

The explosion of varied Linked information on the Web poses new challenges to file systems. In exacting, the ability to store, track, and query origin data is flattering a essential characteristic of modern triple stores. Here, present methods extending a inhabitant RDF accumulate to professionally handle the storage, tracking, and querying of provenance in RDF data. Here, explain a dependable and comprehensible requirement of the way consequences was resultant from the information and how particular pieces of data were combined to answer a query. Subsequently, there techniques to mold queries with attribution data. To empirically judge the accessible methods and reveal that the transparency of storing and track attribution is suitable. Finally, show that dressmaking a query with origin information can also considerably get better the presentation of inquiry execution.

Key-Words / Index Term

Storage

References

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