research-article

Constructing Novel Block Layouts for Webpage Analysis

Authors:

Xu ZhangAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 19, Issue 3

Article No.: 35, Pages 1 - 18

https://doi.org/10.1145/3326457

Published: 10 July 2019 Publication History

Abstract

Webpage segmentation is the basic building block for a wide range of webpage analysis methods. The rapid development of Web technologies results in more dynamic and complex webpages, which bring new challenges to this area. To improve the performance of webpage segmentation, we propose a two-stage segmentation method that can combine visual, logic, and semantic features of the contents on a webpage. Specifically, we devise a new model to measure the similarities of the elements on webpages based on both visual layout and logic organization in the first stage, and we propose a novel block regrouping method using semantic statistics and visual positions in the second stage. This two-stage method can effectively conduct webpage segmentation on complicated and dynamic webpages. The performance and accuracy of the method are verified by comparing with two existing webpage segmentation methods. The experiment results show that the proposed method significantly outperforms the existing state of the art in terms of higher precision, recall, and accuracy.

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Cited By

Griazev K(2024)Internet Web page content block dataset and solutions for its data labelling simplificationundefined10.20334/2024-032-MOnline publication date: 2024
https://doi.org/10.20334/2024-032-M
Griazev KRamanauskaitė S(2023)Web Page Content Block Identification with Extended Block PropertiesApplied Sciences10.3390/app1309568013:9(5680)Online publication date: 5-May-2023
https://doi.org/10.3390/app13095680
Huynh MLe QNguyen VNguyen T(2023)Web Page Segmentation: A DOM-Structural Cohesion Analysis ApproachWeb Information Systems Engineering – WISE 202310.1007/978-981-99-7254-8_25(319-333)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.1007/978-981-99-7254-8_25
Show More Cited By

Index Terms

Constructing Novel Block Layouts for Webpage Analysis
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
      1. Similarity measures
  2. World Wide Web
    1. Web mining
      1. Data extraction and integration

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 19, Issue 3

Special Section on Advances in Internet-Based Collaborative Technologies

August 2019

289 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3329912

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Copyright © 2019 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 July 2019

Accepted: 01 April 2019

Revised: 01 March 2019

Received: 01 April 2018

Published in TOIT Volume 19, Issue 3

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The National Key Research and Development Program of China
Exeter-Tsinghua Academic Fellowship award

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Cited By

Griazev K(2024)Internet Web page content block dataset and solutions for its data labelling simplificationundefined10.20334/2024-032-MOnline publication date: 2024
https://doi.org/10.20334/2024-032-M
Griazev KRamanauskaitė S(2023)Web Page Content Block Identification with Extended Block PropertiesApplied Sciences10.3390/app1309568013:9(5680)Online publication date: 5-May-2023
https://doi.org/10.3390/app13095680
Huynh MLe QNguyen VNguyen T(2023)Web Page Segmentation: A DOM-Structural Cohesion Analysis ApproachWeb Information Systems Engineering – WISE 202310.1007/978-981-99-7254-8_25(319-333)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.1007/978-981-99-7254-8_25
Jayashree SDias GAndrew JSaha SMaurel FFerrari S(2022)Multimodal Web Page Segmentation Using Self-organized Multi-objective ClusteringACM Transactions on Information Systems10.1145/348096640:3(1-49)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.1145/3480966

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