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Automatic Web Data Extraction Based on Genetic Algorithms and Regular Expressions

  • David F. Barrero
  • David Camacho
  • María D. R-Moreno

Abstract

Data Extraction from the World Wide Web is a well known, unsolved, and critical problem when complex information systems are designed. These problems are related to the extraction, management and reuse of the huge amount ofWeb data available. These data usually has a high heterogeneity, volatility and low quality (i.e. format and content mistakes), so it is quite hard to build reliable systems. This chapter proposes an Evolutionary Computation approach to the problem of automatically learn software entities based on Genetic Algorithms and regular expressions. These entities, also called wrappers, will be able to extract some kind of Web data structures from examples.

Keywords

Genetic Algorithm Multiagent System Regular Expression Phone Number Genetic Operator 
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 Science+Business Media, LLC 2009

Authors and Affiliations

  • David F. Barrero
    • 1
  • David Camacho
    • 2
  • María D. R-Moreno
    • 1
  1. 1.Computer Science DepartmentUniversidad de AlcaláMadridSpain
  2. 2.Computer Science DepartmentUniversidad Autónoma de MadridMadridSpain

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