Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora

  • Jeroen de Knijff
  • Kevin Meijer
  • Flavius Frasincar
  • Frederik Hogenboom
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6997)


In this paper, we propose the Automatic Taxonomy Construction from Text (ATCT) framework for building taxonomies from text-based Web corpora. The framework is composed of multiple processing steps. Firstly, domain terms are extracted using a filtering method. Subsequently, Word Sense Disambiguation (WSD) is optionally applied in order to determine the senses of these terms. Then, by means of a subsumption technique, the resulting concepts are arranged in a hierarchy. We construct taxonomies with and without WSD and we investigate the effect of WSD on the quality of concept type-of relations using an evaluation framework that uses a golden taxonomy. We find that WSD improves the quality of the built taxonomy in terms of the taxonomic F-Measure.


Domain Pertinence Word Sense Disambiguation Computational Linguistics Concept Hierarchy Link Open Data 
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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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jeroen de Knijff
    • 1
  • Kevin Meijer
    • 1
  • Flavius Frasincar
    • 1
  • Frederik Hogenboom
    • 1
  1. 1.Erasmus University RotterdamRotterdamThe Netherlands

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