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Linking Online News Semantically Using NLP and Semantic Web Technologies

Pratulya Bubna1 , Shivam Sharma2 , Sanjay Kumar Malik3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 589-598, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.589598

Online published on Jul 31, 2018

Copyright © Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik . 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: Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik, “Linking Online News Semantically Using NLP and Semantic Web Technologies,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.589-598, 2018.

MLA Style Citation: Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik "Linking Online News Semantically Using NLP and Semantic Web Technologies." International Journal of Computer Sciences and Engineering 6.7 (2018): 589-598.

APA Style Citation: Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik, (2018). Linking Online News Semantically Using NLP and Semantic Web Technologies. International Journal of Computer Sciences and Engineering, 6(7), 589-598.

BibTex Style Citation:
@article{Bubna_2018,
author = {Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik},
title = {Linking Online News Semantically Using NLP and Semantic Web Technologies},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {589-598},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2479},
doi = {https://doi.org/10.26438/ijcse/v6i7.589598}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.589598}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2479
TI - Linking Online News Semantically Using NLP and Semantic Web Technologies
T2 - International Journal of Computer Sciences and Engineering
AU - Pratulya Bubna, Shivam Sharma, Sanjay Kumar Malik
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 589-598
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

With the advent of internet, the world today is very closely connected. One can easily obtain information about the activities taking place in an overseas continent only in a matter of seconds. However, despite the world being so intimately connected, one doesn’t find such connections in the news anyone comes across. It is seldom that the news websites provide readers with the news about events that happen in other parts of the world, different from the one the reader is currently in. Thus, there is a need to explore the idea of linking news semantically using different Semantic Web Technologies and concepts like Natural Language Processing (NLP) which may play a significant role in efficient and meaningful information extraction. In this paper, first, various concepts and technologies in regard to the above need have been explored. Second, an architecture is proposed, along with its implementation (in Python),for the media outlets (independents and aggregators) to explore the idea of linking their content semantically using the concepts of Linked Data and NLP. The proposed architecture is intended to be applied at the backend in order to render structured and linked data, with the intention of providing the readers with linked news.

Key-Words / Index Term

Linked Data, Natural Language Processing, Semantic Web Technologies, Ontology, Triplestore, Named Graph, Graph Database, Online News, Structured Data

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