Effectiveness study of lexically mapping two thesauri

  1. Taboada, M. 1
  2. Lalín, R. 1
  3. Martínez, D. 1
  4. Tellado, S. 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Libro:
XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas
  1. Borrajo Millán, Daniel (coord.)
  2. Castillo Vidal, Luis (coord.)
  3. Corchado Rodríguez, Juan Manuel (coord.)

Editorial: Universidad de Salamanca

ISBN: 978-84-611-8846-8 978-84-611-8847-5

Ano de publicación: 2007

Volume: 1

Páxinas: 127-136

Congreso: Conferencia de la Asociación Española para la Inteligencia Artificial (12. 2007. Salamanca)

Tipo: Achega congreso

Resumo

Mapping thesauri is the task of identifying correspondences between entities in different thesauri. Discovering these matches is intrinsically problematic to automate. Earlier research has proposed solutions based on using lexical matching techniques and then, manually revising the resulting lexical mappings with the help of graphical user interfaces. Nevertheless, these solutions cannot guarantee the validity, accuracy and quality of the vocabulary mappings, as human capacity is limited. In this paper, we propose a method to automatically evaluate the quality of the results of a lexical technique. Our method combines structural constraints and annotations with part-of-speech tags to identifying error patterns from the results of lexical matches, differentiating between those leading to fall in precision and those producing decrease in recall.