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

Sabri, Ily Amalina Ahmad; Man, Mustafa

doi:10.11591/ijece.v9i6.pp5463-5470

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…This method is useful in handling the structure of data, whether it is structured, semi-structured or unstructured. The second part is related to the knowledge based 1 shows general models for three web data extraction models; DOM [23], WHDJ [24] and WEIDJ [25]. In addition to the basic capabilities of WEIDJ, our extractor also provides several other useful and user's friendly features.…”

Section: Methodsmentioning

confidence: 99%

A deep web data extraction model for web mining: a review

Sabri

Man²

2021

IJEECS

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The World Wide Web has become a large pool of information. Extracting structured data from a published web pages has drawn attention in the last decade. The process of web data extraction (WDE) has many challenges, dueto variety of web data and the unstructured data from hypertext mark up language (HTML) files. The aim of this paper is to provide a comprehensive overview of current web data extraction techniques, in termsof extracted quality data. This paper focuses on study for data extraction using wrapper approaches and compares each other to identify the best approach to extract data from online sites. To observe the efficiency of the proposed model, we compare the performance of data extraction by single web page extraction with different models such as document object model (DOM), wrapper using hybrid dom and json (WHDJ), wrapper extraction of image using DOM and JSON (WEIDJ) and WEIDJ (no-rules). Finally, the experimentations proved that WEIDJ can extract data fastest and low time consuming compared to other proposed method.<br /><div> </div>

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Section: Methodsmentioning

confidence: 99%

A deep web data extraction model for web mining: a review

Sabri

Man²

2021

IJEECS

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“…To support data-sharing to people (user), metadata can help designing powerful features for information search, such as query by title and query by author and so forth [33]- [36]. Then, to enable data-sharing among systems, metadata elements with similar values are connected to provide complete information about biodiversity [37]. The workflow of proposed data-sharing is shown in Figure 6 below.…”

Section: A Data Managementmentioning

confidence: 99%

Lessons from Integrated Biodiversity Information System Implementation Initiatives

Sensuse¹,

Noprisson²,

Ayumi³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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Biodiversity information system (BIS) plays an essential role in supporting research, exploration, and conservation activities of biodiversity. However, the implementation of BIS is complex and challenging because it involves many stakeholders and various datasets and systems. As a developing country, Indonesia started to implement the integrated BIS because of its benefit to managing Indonesia's biodiversity effectively. This paper attempted to explore the lesson learned of BIS implementation in several countries that may be useful for other countries to develop and implement BIS. This research was accomplished by conducting four focus group discussions (FGDs) that involved a representative of stakeholders, practitioners, and experts of a biodiversity information system in discussing issues in BIS implementation. The first FGD was conducted in Jakarta, Indonesia, which involved 16 participants. The second FGD has invited thirteen members and conducted them in Taiwan. The third session of FGD has been done by discussing with six members of FGD in Spain. The last FGD was held in Japan and invited eight members from several South Korea and Japan institutions. The output of FGDs was an analysis of five themes were identified, including data management, technology infrastructure, funding management, stakeholder involvement, and specialized agency. Stakeholder involvement is important to formulate policies and support BIS implementation and utilization sustainability. The lesson related to funding resources is that many organizations or people must be managed in centralization. It means a specialized agency is needed to conduct and control all programs related to BIS implementation.

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“…The Document Object Model (DOM) is a programming API for HTML and XML documents. People can create and build documents using DOM [15]. Besides that this model can be used to manipulate elements and contents of HTML and XML documents such as add, modify or delete [13,16].…”

Section: A Dom Treementioning

confidence: 99%

Performance Analysis for Mining Images of Deep Web

Sabri¹,

Man²

2020

IJACSA

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In this paper, advancing web scale knowledge extraction and alignment by integrating few sources has been considered by exploring different methods of aggregation and attention in order to focus on image information. An improved model, namely, Wrapper Extraction of Image using DOM and JSON (WEIDJ) has been proposed to extract images and the related information in fastest way. Several models, such as Document Object Model (DOM), Wrapper using Hybrid DOM and JSON (WHDJ), WEIDJ and WEIDJ (no-rules) are been discussed. The experimental results on real world websites demonstrate that our models outperform others, such as Document Object Model (DOM), Wrapper using Hybrid DOM and JSON (WHDJ) in terms of mining in a higher volume of web data from a various types of image format and taking the consideration of web data extraction from deep web.

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

Cited by 3 publications

References 16 publications

A deep web data extraction model for web mining: a review

A deep web data extraction model for web mining: a review

Lessons from Integrated Biodiversity Information System Implementation Initiatives

Performance Analysis for Mining Images of Deep Web

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