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Exploring traversal strategy for web forum crawling

Authors:

Jiang-Ming Yang,

Wei-Ying MaAuthors Info & Claims

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Pages 459 - 466

https://doi.org/10.1145/1390334.1390413

Published: 20 July 2008 Publication History

Abstract

In this paper, we study the problem of Web forum crawling. Web forum has now become an important data source of many Web applications; while forum crawling is still a challenging task due to complex in-site link structures and login controls of most forum sites. Without carefully selecting the traversal path, a generic crawler usually downloads many duplicate and invalid pages from forums, and thus wastes both the precious bandwidth and the limited storage space. To crawl forum data more effectively and efficiently, in this paper, we propose an automatic approach to exploring an appropriate traversal strategy to direct the crawling of a given target forum. In detail, the traversal strategy consists of the identification of the skeleton links and the detection of the page-flipping links. The skeleton links instruct the crawler to only crawl valuable pages and meanwhile avoid duplicate and uninformative ones; and the page-flipping links tell the crawler how to completely download a long discussion thread which is usually shown in multiple pages in Web forums. The extensive experimental results on several forums show encouraging performance of our approach. Following the discovered traversal strategy, our forum crawler can archive more informative pages in comparison with previous related work and a commercial generic crawler.

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Cited By

Aktaş BAkbıyık ANusair KOkumus F(2023)Travellers’ social media postings during protests and mass demonstrationsCurrent Issues in Tourism10.1080/13683500.2023.221435927:10(1513-1529)Online publication date: 9-Jun-2023
https://doi.org/10.1080/13683500.2023.2214359
Koloveas PChantzios TAlevizopoulou SSkiadopoulos STryfonopoulos C(2021)inTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat IntelligenceElectronics10.3390/electronics1007081810:7(818)Online publication date: 30-Mar-2021
https://doi.org/10.3390/electronics10070818
Koloveas PChantzios TTryfonopoulos CSkiadopoulos S(2019)A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence2019 IEEE World Congress on Services (SERVICES)10.1109/SERVICES.2019.00016(3-8)Online publication date: Jul-2019
https://doi.org/10.1109/SERVICES.2019.00016
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Index Terms

Exploring traversal strategy for web forum crawling
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

cover image ACM Conferences

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

July 2008

934 pages

ISBN:9781605581644

DOI:10.1145/1390334

General Chairs:
Tat-Seng Chua
National University of Singapore
,
Mun-Kew Leong
National Library Board, Singapore
,
Program Chairs:
Syung Hyon Myaeng
Information and Communications University, Korea
,
Douglas W. Oard
University of Maryland, College Park, USA
,
Fabrizio Sebastiani
Consiglio Nazionale delle Ricerche, Italy

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 July 2008

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SIGIR '08

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SIGIR '08: The 31st Annual International ACM SIGIR Conference

July 20 - 24, 2008

Singapore, Singapore

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Aktaş BAkbıyık ANusair KOkumus F(2023)Travellers’ social media postings during protests and mass demonstrationsCurrent Issues in Tourism10.1080/13683500.2023.221435927:10(1513-1529)Online publication date: 9-Jun-2023
https://doi.org/10.1080/13683500.2023.2214359
Koloveas PChantzios TAlevizopoulou SSkiadopoulos STryfonopoulos C(2021)inTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat IntelligenceElectronics10.3390/electronics1007081810:7(818)Online publication date: 30-Mar-2021
https://doi.org/10.3390/electronics10070818
Koloveas PChantzios TTryfonopoulos CSkiadopoulos S(2019)A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence2019 IEEE World Congress on Services (SERVICES)10.1109/SERVICES.2019.00016(3-8)Online publication date: Jul-2019
https://doi.org/10.1109/SERVICES.2019.00016
Pavkovic MProtic J(2019)SInFo – Structure-Driven Incremental Forum Crawler That Optimizes User-Generated Content RetrievalIEEE Access10.1109/ACCESS.2019.29398727(126941-126961)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2939872
Audeh BBeigbeder MZimmermann AJaillon PBousquet C(2017)Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic RepresentationPLOS ONE10.1371/journal.pone.016965812:1(e0169658)Online publication date: 25-Jan-2017
https://doi.org/10.1371/journal.pone.0169658
Uçar EUzun ETüfekci P(2017)A novel algorithm for extracting the user reviews from web pagesJournal of Information Science10.1177/016555151666644643:5(696-712)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1177/0165551516666446
Barbosa L(2017)Harvesting Forum Pages from Seed SitesWeb Engineering10.1007/978-3-319-60131-1_32(457-468)Online publication date: 1-Jun-2017
https://doi.org/10.1007/978-3-319-60131-1_32
Lim WSachan AThing V(2013)A Lightweight Algorithm for Automated Forum Information ProcessingProceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0110.1109/WI-IAT.2013.18(121-126)Online publication date: 17-Nov-2013
https://dl.acm.org/doi/10.1109/WI-IAT.2013.18
Moraes MHeuser CMoreira VBarbosa D(2013)Prequery Discovery of Domain-Specific Query FormsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2012.11125:8(1830-1848)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1109/TKDE.2012.111
Lim WRaja VThing V(2013)Generalized and lightweight algorithms for automated web forum content extraction2013 IEEE International Conference on Computational Intelligence and Computing Research10.1109/ICCIC.2013.6724259(1-8)Online publication date: Dec-2013
https://doi.org/10.1109/ICCIC.2013.6724259
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