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Keyword Based Efficient Web Crawler for Next Generation Semantic Web

Sheetal 1 , M. Bansal2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 194-196, Apr-2014

Online published on Apr 30, 2014

Copyright © Sheetal, M. Bansal . 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: Sheetal, M. Bansal , “Keyword Based Efficient Web Crawler for Next Generation Semantic Web,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.194-196, 2014.

MLA Style Citation: Sheetal, M. Bansal "Keyword Based Efficient Web Crawler for Next Generation Semantic Web." International Journal of Computer Sciences and Engineering 2.4 (2014): 194-196.

APA Style Citation: Sheetal, M. Bansal , (2014). Keyword Based Efficient Web Crawler for Next Generation Semantic Web. International Journal of Computer Sciences and Engineering, 2(4), 194-196.

BibTex Style Citation:
@article{Bansal_2014,
author = {Sheetal, M. Bansal },
title = {Keyword Based Efficient Web Crawler for Next Generation Semantic Web},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {194-196},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=137},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=137
TI - Keyword Based Efficient Web Crawler for Next Generation Semantic Web
T2 - International Journal of Computer Sciences and Engineering
AU - Sheetal, M. Bansal
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 194-196
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

This paper will be implement Ontology Based Search Using Semantic Web. The method of web crawling with filter is used. This approach is query based approach using Jena API. The proposed approach solves the problem of revisiting web pages by crawler. The Semantic Web is an extension of the current Web that allows the meaning of information to be precisely described in terms of well-defined vocabularies that are understood by people and computers.

Key-Words / Index Term

Sementics Web, Metadata, An Ontology,RDF,Search Engine

References

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