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A Domain Meta-wrapper Using Seeds for Intelligent Author List Extraction in the Domain of Scholarly Articles

  • Francesco Cauteruccio
  • Giovambattista Ianni
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8092)

Abstract

In this paper we investigate about automated extraction of author lists in the domain of scientific digital libraries. It is given a list of known “seed” authors and we aim to extract complete lists of co-authors from Web pages in arbitrary format. We adopt a methodology embedding domain knowledge in a unique “meta-wrapper”, not requiring training, with negligible maintenance costs and based on the combination of several extraction techniques. Such methods are applied at the structural level, at the character level and at the annotation level. We describe the methodology, illustrate our tool, compare with known approaches and measure the accuracy of our techniques with proper experiments.

Keywords

Large Hadron Collider Digital Library Regular Expression Scholarly Article XPath Expression 
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 2013

Authors and Affiliations

  • Francesco Cauteruccio
    • 1
  • Giovambattista Ianni
    • 1
  1. 1.Dipartimento di Matematica e InformaticaUniversità della CalabriaRendeItaly

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