WEIDJ: An improvised algorithm for image extraction from web pages

Sabri, Ily Amalina Ahmad; Man, Mustafa

doi:10.1109/icitech.2017.8080051

Search citation statements

Order By: Relevance

Paper Sections

Select...

Related Studies1

Weidj Model1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2021

Publication Types

Select...

Article4

Book1

Relationship

Self Cite1

Independent4

Authors

Journals

Cited by 5 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bhardwaj and Mangat [22] propose a technique to extract image tags which size greater than 120,000 pixels (for example, the size of tags 300x400 or 400x300). Sabri and Man [23] introduce an algorithm that uses the Document Object Model (DOM) and JavaScript Object Notation (JSON) for extracting images from a web page. These studies use a single web page.…”

Section: Related Studiesmentioning

confidence: 99%

Automatically Discovering Relevant Images From Web Pages

et al. 2020

View full text Add to dashboard Cite

Section: Related Studiesmentioning

confidence: 99%

Automatically Discovering Relevant Images From Web Pages

et al. 2020

View full text Add to dashboard Cite

“…These data are rendered in the similar way. There have been discussed in former works [19][20][21][22][23] about how to extract data from web pages. Figure 3 shows basic concepts of data extraction process.…”

Section: Weidj Modelmentioning

confidence: 99%

A performance of comparative study for semi-structured web data extraction model

Sabri¹,

Man²

2019

IJECE

Self Cite

View full text Add to dashboard Cite

<span lang="EN-US">The extraction of information from multi-sources of web is an essential yet complicated step for data analysis in multiple domains. In this paper, we present a data extraction model based on visual segmentation, DOM tree and JSON approach which is known as Wrapper Extraction of Image using DOM and JSON (WEIDJ) for extracting semi-structured data from biodiversity web. The large number of information from multiple sources of web which is image’s information will be extracted using three different approach; Document Object Model (DOM), Wrapper image using Hybrid DOM and JSON (WHDJ) and Wrapper Extraction of Image using DOM and JSON (WEIDJ). Experiments were conducted on several biodiversity website. The experiment results show that WEIDJ approach promising results with respect to time analysis values. WEIDJ wrapper has successfully extracted greater than 100 images of data from the multi-source web biodiversity of over 15 different websites.</span>

show abstract

Multiple Types of Semi-structured Data Extraction Using Wrapper for Extraction of Image Using DOM (WEID)

Ahmad

Man

2018

Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016)

View full text Add to dashboard Cite

WEIDJ: An improvised algorithm for image extraction from web pages

Cited by 5 publications

References 16 publications

Automatically Discovering Relevant Images From Web Pages

Automatically Discovering Relevant Images From Web Pages

A performance of comparative study for semi-structured web data extraction model

Multiple Types of Semi-structured Data Extraction Using Wrapper for Extraction of Image Using DOM (WEID)

Contact Info

Product

Resources

About