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A Practical Agent-Based Method to Extract Semantic Information from the Web

  • J. L. Arjona
  • R. Corchuelo
  • A. Ruiz
  • M. Toro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2348)

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 it 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 some changes.

Keywords

Information Channel Inductive Logic Programming Business Logic Extraction Rule Defense Advance Research Project Agency 
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 2002

Authors and Affiliations

  • J. L. 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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