Knowledge Mining and Discovery for Searching in Literary Texts

نویسندگان

  • Amedeo Cappelli
  • Maria Novella Catarsi
  • Patrizia Michelassi
  • Lorenzo Moretti
  • Miriam Baglioni
  • Franco Turini
  • M. Tavoni
چکیده

The article describes a query system on texts and literary material with advanced information retrieval tools suitable to retrieve the content of a text, either as material specifically organized with respect to linguistic, stylistic and rethoric features, and in its historical, social and cultural context. As a test bed we chose the Dante's characters of al di là. This method of investigation should help a scholar of a literary text to realize part of his interpretative intentions. For this purpose, we will adopt advanced methodologies in knowledge management and knowledge discovery to be applied to a rich representation of the tagged content of a text.

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تاریخ انتشار 2002