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HTML Tag Structure Based Content Retrieval from Web Pages

S.S. Bhamare1

  1. School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon (M.S) India.

Section:Research Paper, Product Type: Journal Paper
Volume-10 , Issue-11 , Page no. 35-39, Nov-2022

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v10i11.3539

Online published on Nov 30, 2022

Copyright © S.S. Bhamare . 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: S.S. Bhamare, “HTML Tag Structure Based Content Retrieval from Web Pages,” International Journal of Computer Sciences and Engineering, Vol.10, Issue.11, pp.35-39, 2022.

MLA Style Citation: S.S. Bhamare "HTML Tag Structure Based Content Retrieval from Web Pages." International Journal of Computer Sciences and Engineering 10.11 (2022): 35-39.

APA Style Citation: S.S. Bhamare, (2022). HTML Tag Structure Based Content Retrieval from Web Pages. International Journal of Computer Sciences and Engineering, 10(11), 35-39.

BibTex Style Citation:
@article{Bhamare_2022,
author = {S.S. Bhamare},
title = {HTML Tag Structure Based Content Retrieval from Web Pages},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2022},
volume = {10},
Issue = {11},
month = {11},
year = {2022},
issn = {2347-2693},
pages = {35-39},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5531},
doi = {https://doi.org/10.26438/ijcse/v10i11.3539}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v10i11.3539}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5531
TI - HTML Tag Structure Based Content Retrieval from Web Pages
T2 - International Journal of Computer Sciences and Engineering
AU - S.S. Bhamare
PY - 2022
DA - 2022/11/30
PB - IJCSE, Indore, INDIA
SP - 35-39
IS - 11
VL - 10
SN - 2347-2693
ER -

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Abstract

With the immense quantity of information in the World Wide Web, the World Wide Web (WWW) contains enormous amounts of web pages which are accessible by users. Web pages formatted in HTML (i.e. Hyper Text Markup Language) are found on this network of computers. All the Web pages, pictures, videos and other online content can be accessed via a Web browser. This provides a very useful and helpful means of collecting information. Information retrieval systems can help to retrieving the relevant information from web documents. This process of information retrieval involves three stages such as identifying the documents want to be processed, writing of query and use of searching mechanism to retrieve the relevant web document information. This paper discuss how HTML Tags structure of web page are useful for retrieval of main or informative content from web pages for efficient web mining operations.

Key-Words / Index Term

WWW, Web Page, HTML Tags, Text Density

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