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A Survey on Interlinking in Linked Open Data

Shweta S A1 , Shreyas Suresh Rao2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-16 , Page no. 69-74, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si16.6974

Online published on May 18, 2019

Copyright © Shweta S A, Shreyas Suresh Rao . 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: Shweta S A, Shreyas Suresh Rao, “A Survey on Interlinking in Linked Open Data,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.16, pp.69-74, 2019.

MLA Style Citation: Shweta S A, Shreyas Suresh Rao "A Survey on Interlinking in Linked Open Data." International Journal of Computer Sciences and Engineering 07.16 (2019): 69-74.

APA Style Citation: Shweta S A, Shreyas Suresh Rao, (2019). A Survey on Interlinking in Linked Open Data. International Journal of Computer Sciences and Engineering, 07(16), 69-74.

BibTex Style Citation:
@article{A_2019,
author = {Shweta S A, Shreyas Suresh Rao},
title = {A Survey on Interlinking in Linked Open Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {16},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {69-74},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1281},
doi = {https://doi.org/10.26438/ijcse/v7i16.6974}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i16.6974}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1281
TI - A Survey on Interlinking in Linked Open Data
T2 - International Journal of Computer Sciences and Engineering
AU - Shweta S A, Shreyas Suresh Rao
PY - 2019
DA - 2019/05/18
PB - IJCSE, Indore, INDIA
SP - 69-74
IS - 16
VL - 07
SN - 2347-2693
ER -

           

Abstract

Semantic Web interconnects diverse data sources on the Web, thereby presenting a global database of Web resources. Interlinking is an important activity in establishing semantic links between applications on the World Wide Web. During the interlinking activity, first, link discovery is done to identify the datasets to be linked, and subsequently, link generation is done to generate the matching links, based on appropriate comparator algorithms. The paper presents a literature review on linked open data, focusing on the interlinking activity. Furthermore, the paper presents a novel map-reduce based approach for comprehensively presenting the interlinking algorithms. Lastly, the paper throws some insights on the LOD datasets available in the LOD Cloud 2018.

Key-Words / Index Term

Semantic Web, Linked open data, Resource description framework, LOD Cloud, Hadoop Map-Reduce

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