A Review on Semantics Web Technology
Manisha 1 , Dhiraj Khurana2 , Dheeraj Kumar Sahni3
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 1878-1880, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.18781880
Online published on May 31, 2019
Copyright © Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni . 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: Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni, “A Review on Semantics Web Technology,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1878-1880, 2019.
MLA Style Citation: Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni "A Review on Semantics Web Technology." International Journal of Computer Sciences and Engineering 7.5 (2019): 1878-1880.
APA Style Citation: Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni, (2019). A Review on Semantics Web Technology. International Journal of Computer Sciences and Engineering, 7(5), 1878-1880.
BibTex Style Citation:
@article{Khurana_2019,
author = {Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni},
title = {A Review on Semantics Web Technology},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1878-1880},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4745},
doi = {https://doi.org/10.26438/ijcse/v7i5.18781880}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.18781880}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4745
TI - A Review on Semantics Web Technology
T2 - International Journal of Computer Sciences and Engineering
AU - Manisha, Dhiraj Khurana, Dheeraj Kumar Sahni
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1878-1880
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
328 | 250 downloads | 187 downloads |
Abstract
Day by day the population index is growing radically. With this growth the average user of World Wide Web are increasing and the data volume also increases at a higher rate. Semantics is one of the technology to handle the large volume of data and to filter out the used volume for consumption. Semantic web is the web of semantics where meaningful information are warehoused in the form of RDF/XML, Triples, and SPARQL etc. Ontology is the one of the pillar of semantics data. In this paper our goal is to study the existing semantic technology in W3.
Key-Words / Index Term
Semantic, Web, Resource Description Frame, SPARQL, World Wide Web
References
[1] Edgard Costa Oliveira et. al., “Ontology-based CMS news authoring environment”, 2017 IEEE 11th International Conference on Semantic Computing, 978-1-5090-4284-5/17.
[2] Fatmah Bamashmoos et. al., “Towards Secure SPARQL Queries in Semantic Web Applications using PHP”, 2017 IEEE 11th International Conference on Semantic Computing 978-1-5090-4284-5/17.
[3] C. Ramesh, K.V. Chalapati Rao et. al., “Ontology Based Web Usage Mining Model”, International Conference on Inventive Communication and Computational Technologies (ICICCT 2017) ©2017 IEEE 978-1-5090-5297-4/17.
[4] A. Mazayev et. al., “Semantic Web Thing Architecture”, 2017 4th Experiment@ International Conference (exp.at`17) June 6th – 8th, 2017.
[5] Olga Nabuco, “Web2Touch 2017 Semantic technologies in smart information sharing and web collaboration”, 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises 978-1-5386-1759-5/17.
[6] Randa Hammam et. al., “rMatcher: A Tool for Semantic Web Services Discovery & Publication”, 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises 978-1-5386-1759-5/17.
[7] D Venkataraman et. al., “Resource Tracking in Institutions Using Semantic Web”, 2017 International Conference on Advanced Computing and Communication Systems (ICACCS -2017), Jan. 06 – 07, 2017.
[8] Xi Chen et. al., “Data Flow-Oriented Multi-Path Semantic Web Service Composition using Extended SPARQL”, 2017 IEEE 24th International Conference on Web Services 78-1-5386-0752-7/17.
[9] R. Sethuraman et. al., “A Semantic Web Services For Medical Analysis In Health Care Domain”, International Conference On Information, Communication & Embedded Systems 978-1-5090-6135-8/17.
[10] M. Eirinaki, M. Vazirgiannis, “Web Mining for Web Personalization,” ACM Transaction on Internet Technology, vol. 3. no.1, pp. 1-27, 2003.
[11] Jaehak Yu et. al., “A Framework on Semantic Thing Retrieval Method in IoT and IoE Environment”, 2018 International Conference on Platform Technology and Service 978-1-5386-4710-3/18.
[12] Viriyasitavat et al., “The Extension of Semantic Formalization of Service Workflow Specification Language”, Ieee Transactions On Industrial Informatics, Vol. 15, No. 2, February 2019
[13] G. Ganu, Y. Kakodkar, and A. Marian (2013), “Improving the quality of predictions using textual information in online user reviews,” Information Systems, vol. 38, no. 1, pp. 1-15.
[14] R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuglu, and P. Kuksa (2011), “Natural Language Processing (Almost) from Scratch,” Journal of Machine Learning Research, vol. 12, pp. 2493–2537.
[15] Kabul Kurniawan et. al., “Semantic Service Description and Compositions: A Systematic Literature Review”, 2018 2nd International Conference on Informatics and Computational Sciences 978-1-5386-7440-6/18.
[16] Bing Jia et. al., “A Semantic-based Adaptive Recommendation Mechanism for Location Service”, 2018 Sixth International Conference on Advanced Cloud and Big Data, 978-1-5386-8034-6/18.
[17] Sunny Sharma et. al., “Ontology based informational retrieval system on the semantic web: Semantic Web Mining”, 2017 International Conference on Next Generation Computing and Information Systems.
[18] Lokesh B Bhajantri et. al. “Data Processing in Semantic Sensor Web: A Survey”, 2017 IEEE, 978-1-5386-1144.
[19] Mrinal Pandey et. al., “Rendering Trustability to Semantic Web Applications-Manchester Approach”, 978-1-5386-0514-1/17.
[20] C S Saravana Kumar, “A New Approach for Information Retrieval in Semantic Web Mining Involving Weighted Relationship”, 2017 IEEE, 978-1-5090-3294/5/17.
[21] Abhishek Kumbhar et al., “Keyword Extraction Performance Analysis”, 2019 IEEE Conference on Multimedia Information Processing and Retrieval, 978-1-7281-1198-8/19
[22] Mohammed Nadher Abdo Al. et. al., “Boosting Arabic Named-Entity Recognition With Multi-Attention Layer”, 2169-3536, 2019 IEEE. VOLUME 7, 2019.