Identification And Classification Of Noise In Converting A Document In Web Page

Abstract

World Wide Web made the internet popular and attracted individuals /organizations to easily exchange information. Many web authoring tools were developed to create web documents fast and WYSIWYG way. On the other hand every application of the office includes an option to save the document as web page. The compliance of standard becomes an issue here and as a result a noise is said to enter in the web page. The noise not only disturbs the presentation of the web page but also takes extra storage. This paper presents a study on MS word documents which were converted into web pages and tested run in four popular browsers viz. Google chrome, IE7, Mozilla Firefox and opera. The results show that web pages created with the different options of conversion leads to different forms of noise. Results also show that the noise arises because of different browsers responding differently to DOM.

Authors and Affiliations

Bisma Sultan, Lalitsen Sharma

Keywords

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  • EP ID EP24555
  • DOI -
  • Views 335
  • Downloads 10

How To Cite

Bisma Sultan, Lalitsen Sharma (2017). Identification And Classification Of Noise In Converting A Document In Web Page. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://www.europub.co.uk/articles/-A-24555