Pattern-based extraction of addresses from web page content

  • Authors:

  • Saeid Asadi;Guowei Yang;Xiaofang Zhou;Yuan Shi;Boxuan Zhai;Wendy Wen-Rong Jiang

  • Affiliations:

  • School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Australia

  • Venue:
  • APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
  • Year:
  • 2008

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Abstract

Extraction of addresses and location names from Web pages is a challenging task for search engines. Traditional information extraction and natural processing models remain unsuccessful in the context of the Web because of the uncontrolled heterogenous nature of the Web resources as well as the effects of HTML and other markup tags. We describe a new pattern-based approach for extraction of addresses from Web pages. Both HTML and vision-based segmentations are used to increase the quality of address extraction. The proposed system uses several address patterns and a small table of geographic knowledge to hit addresses and then itemize them into smaller components. The experiments show that this model can extract and itemize different addresses effectively without large gazetteers or human supervision.