[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1557019.1557166acmconferencesArticle/Chapter ViewAbstractPublication PageskddConference Proceedingsconference-collections
research-article

Incorporating site-level knowledge for incremental crawling of web forums: a list-wise strategy

Published: 28 June 2009 Publication History

Abstract

We study in this paper the problem of incremental crawling of web forums, which is a very fundamental yet challenging step in many web applications. Traditional approaches mainly focus on scheduling the revisiting strategy of each individual page. However, simply assigning different weights for different individual pages is usually inefficient in crawling forum sites because of the different characteristics between forum sites and general websites. Instead of treating each individual page independently, we propose a list-wise strategy by taking into account the site-level knowledge. Such site-level knowledge is mined through reconstructing the linking structure, called sitemap, for a given forum site. With the sitemap, posts from the same thread but distributed on various pages can be concatenated according to their timestamps. After that, for each thread, we employ a regression model to predict the time when the next post arrives. Based on this model, we develop an efficient crawler which is 260% faster than some state-of-the-art methods in terms of fetching new generated content; and meanwhile our crawler also ensure a high coverage ratio. Experimental results show promising performance of Coverage, Bandwidth utilization, and Timeliness of our crawler on 18 various forums.

Supplementary Material

JPG File (p1375-yang.jpg)
MP4 File (p1375-yang.mp4)

References

[1]
R. Baeza-Yates, C. Castillo, M. Marin, and A. Rodriguez. Crawling a country: Better strategies than breadth-first for web page ordering. In Proc. of WWW, 2005.
[2]
B. E. Brewington and G. Cybenko. How dynamic is the web? Computer Networks, 2000.
[3]
B. E. Brewington and G. Cybenko. Keeping up with the changing web. Cumputer, 2000.
[4]
R. Cai, J.-M. Yang, W. Lai, Y. Wang, and L. Zhang. iRobot: An intelligent crawler for Web forums. In Proc. of WWW, pages 447--456, April 2008.
[5]
S. Chakrabarti, M. van den Berg, and B. Dom. Focused crawling: A new approach to topic-specific web resource discovery. Computer Networks, 1999.
[6]
J. Cho and H. Garcia-Molina. Effiective page refresh policies for web crawlers. ACM Transactions on Database Systems, 28(4), 2003.
[7]
E. Coffman, Z. Liu, and R. R. Weber. Optimal robot scheduling of web search engines. Journal of scheduling, 1, 1998.
[8]
G. Cong, L. Wang, C.-Y. Lin, Y.-I. Song, and Y. Sun. Finding question-answer pairs from online forums. In Proc. of SIGIR, pages 467--474, July 2008.
[9]
M. Diligenti, F. M. Coetzee, S. Lawrence, C. L. Giles, and M. Gori. Focused crawling using content graphs. In Proc. of VLDB, 2000.
[10]
J. Edwards, K. S. McCurley, and J. A. Tomlin. An adaptive model for optimizing performance of an incremental web crawler. In Proc. of WWW, 2001.
[11]
F. Menczer, G. Pant, P. Srinivasan, and M. E. Ruiz. Evaluating topic-driven web crawlers. In Proc. of SIGIR, 2001.
[12]
C. Olston and S. Pandey. Recrawl scheduling based on information longevity. In Proc. of WWW, pages 437--446, April 2008.
[13]
S. Pandey and C. Olston. User-centric web crawling. In Proc. of WWW, 2005.
[14]
M. L. A. Vidal, A. S. da Silva, E. S. de Moura, and J. M. B. Cavalcanti. Structure-driven crawler generation by example. In Proc. of SIGIR, 2006.
[15]
Y. Wang, J.-M. Yang, W. Lai, R. Cai, L. Zhang, and W.-Y. Ma. Exploring traversal strategy for Web forum crawling. In Proc. of SIGIR, pages 459--466, July 2008.
[16]
J. Wolf, M. Squillante, P. Yu, J. Sethuraman, and L. Ozsen. Optimal crawling strategies for web search engines. In Proc. of WWW, 2002.
[17]
Y. Zhai and B. Liu. Structured data extraction from the web based on partial tree alignment. IEEE Trans. Knowl. Data Eng, 18(12), 2006.
[18]
S. Zheng, R. Song, J.-R. Wen, and D. Wu. Joint optimization of wrapper generation and template detection. In Proc. of SIGKDD, 2007.

Cited By

View all
  • (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
  • (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
  • (2019)SInFo – Structure-Driven Incremental Forum Crawler That Optimizes User-Generated Content RetrievalIEEE Access10.1109/ACCESS.2019.29398727(126941-126961)Online publication date: 2019
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
June 2009
1426 pages
ISBN:9781605584959
DOI:10.1145/1557019
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. incremental crawling
  2. sitemap
  3. web forum

Qualifiers

  • Research-article

Conference

KDD09

Acceptance Rates

Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

Upcoming Conference

KDD '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 09 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (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
  • (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
  • (2019)SInFo – Structure-Driven Incremental Forum Crawler That Optimizes User-Generated Content RetrievalIEEE Access10.1109/ACCESS.2019.29398727(126941-126961)Online publication date: 2019
  • (2018)Tools for Internet Competitive Intelligence Based on Ontology2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT)10.1109/ICAICT.2018.8747159(1-4)Online publication date: Oct-2018
  • (2018)Automatically extracting user reviews from forum sitesComputers & Mathematics with Applications10.1016/j.camwa.2011.07.04462:7(2779-2792)Online publication date: 31-Dec-2018
  • (2017)Corruption Cases Mapping Based on Indonesia’s Corruption Perception IndexJournal of Physics: Conference Series10.1088/1742-6596/801/1/012019801(012019)Online publication date: 23-Mar-2017
  • (2015)Tool for monitoring Web sites for emergency-related posts and post analysis2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD)10.1109/SPED.2015.7343102(1-6)Online publication date: Oct-2015
  • (2015)Considerations on the functions and importance of a web crawler2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)10.1109/ECAI.2015.7301171(Y-17-Y-22)Online publication date: Jun-2015
  • (2014)Implementation of a distributed web community crawlerThe 16th Asia-Pacific Network Operations and Management Symposium10.1109/APNOMS.2014.6996586(1-6)Online publication date: Sep-2014
  • (2013)Crawling Data-Intensive Web Sources Using Structure InformationBusiness Information Systems Workshops10.1007/978-3-642-41687-3_19(196-207)Online publication date: 2013
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media