Automatic Optimization of Web Navigation Sequences

  • José Losada
  • Juan Raposo
  • Alberto Pan
  • Javier López
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 157)

Abstract

Web automation applications are widely used for different purposes such as B2B integration, automated testing of web applications or technology and business watch. In this work-in-progress paper we outline a set of techniques which constitute the basis to build a web navigation component able to analyze a web navigation sequence and automatically optimize it, detecting which parts of the loaded pages are needed, and which ones can be discarded in the following executions of the sequence. Our techniques build on the Document Object Model and the first tests executed with real web sources have found them to be very effective.

Keywords

Target Node Execution Phase Optimization Information Relevant Node Document Object Model 
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 2012

Authors and Affiliations

  • José Losada
    • 1
  • Juan Raposo
    • 1
  • Alberto Pan
    • 1
  • Javier López
    • 1
  1. 1.Information and Communications Technology DepartmentUniversity of A Coruña Facultad de InformáticaA CoruñaSpain

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