Knowledge Mining and Discovery for Searching in Literary Texts

A. Cappelli (Istituto di Linguistica Computazionale – CNR Pisa;  Department of Computer Science, University of Pisa),

M. N. Catarsi (Istituto di Linguistica Computazionale – CNR Pisa)

P. Michelassi (Istituto di Linguistica Computazionale – CNR Pisa)

L. Moretti (Istituto di Linguistica Computazionale – CNR Pisa)

M. Baglioni (Department of Computer Science, University of Pisa)

F. Turini (Department of Computer Science, University of Pisa)

M. Tavoni (Department of Italian Studies, University of Pisa)

WO24: Applications Based On Written LRs

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.

Literary texts

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