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Mechanisms of Knowledge Evolution for Web Information Extraction

  • Carsten Müller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3847)

Abstract

The knowledge that is needed in Web information extraction can, under certain assumptions, be characterized as the knowledge held by wrappers that are used to extract the semantics of documents. The evolution of this knowledge can be divided into the phase of initial learning of the wrappers and the later phase of wrapper maintenance. In this paper we will focus only on the initial learning phase. Based on the LExIKON System, the principal structure of learning algorithms for island wrappers is explained.

Keywords

Learning Algorithm Minimal Length Information Extraction Data Preparation Knowledge Evolution 
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 2006

Authors and Affiliations

  • Carsten Müller
    • 1
  1. 1.SAP AGWalldorfGermany

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