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Address Extraction: Extraction of Location-Based Information from the Web

  • Wentao Cai
  • Shengrui Wang
  • Qingshan Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3399)

Abstract

Updating and retrieving location-based data is an important problem in Location-Based Service (LBS) applications. The Web is a valuable pool of location-based information. Such information can be retrieved and extracted on the basis of corresponding postal addresses. This paper proposes an information extraction method to help collect location-based information from the Web automatically. The proposal applies an ontology-based conceptual information retrieval approach combined with graph matching techniques. Experimental evaluation shows that the method yields high recall and precision results.

Keywords

Graph Match Text Segment Postal Address Concept Node Ontology Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Wentao Cai
    • 1
  • Shengrui Wang
    • 1
  • Qingshan Jiang
    • 2
  1. 1.Department of Computer ScienceUniversite de SherbrookeSherbrookeCanada
  2. 2.Software SchoolXiamen UniversityXiamen, FujianP.R. China

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