Automatic Extraction of Semantically-Meaningful Information from the Web

  • J. Arjona
  • R. Corchuelo
  • A. Ruiz
  • M. Toro
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2347)

Abstract

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that the semantic web is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic extraction of semantically-meaningful information from the current web. Separating the extraction process from the business logic of an agent enhances modularity, adaptability, and maintainability. Our approach is novel in that it combines different technologies to extract information, surf the web and automatically adapt to web changes.

Keywords

Web agents information extraction wrappers ontologies 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • J. Arjona
    • 1
  • R. Corchuelo
    • 1
  • A. Ruiz
    • 1
  • M. Toro
    • 1
  1. 1.Departamento de Lenguajes y Sistemas InformáticosEscuela Técnica Superior de Ingeniería Informática de la Universidad de SevillaSevillaSpain

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