This paper describes a query system on texts and literary material with advanced information retrieval tools. As a test bed we chose the electronic version of Dante's Inferno, manually tagged using XML, enriched with a domain ontology describing the historical, social and cultural context represented as a separate XML document.

Mining literary texts using domain ontologies

Nanni M;Giovannetti E
2004

Abstract

This paper describes a query system on texts and literary material with advanced information retrieval tools. As a test bed we chose the electronic version of Dante's Inferno, manually tagged using XML, enriched with a domain ontology describing the historical, social and cultural context represented as a separate XML document.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI -
dc.authority.people Baglioni M it
dc.authority.people Nanni M it
dc.authority.people Giovannetti E it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.appartenenza.mi 973 *
dc.date.accessioned 2024/02/21 05:04:14 -
dc.date.available 2024/02/21 05:04:14 -
dc.date.issued 2004 -
dc.description.abstracteng This paper describes a query system on texts and literary material with advanced information retrieval tools. As a test bed we chose the electronic version of Dante's Inferno, manually tagged using XML, enriched with a domain ontology describing the historical, social and cultural context represented as a separate XML document. -
dc.description.affiliations Department of Computer Science, University of Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy -
dc.description.allpeople Baglioni, M; Nanni, M; Giovannetti, E -
dc.description.allpeopleoriginal Baglioni M.; Nanni M.; Giovannetti E. -
dc.description.fulltext restricted en
dc.description.numberofauthors 3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/57545 -
dc.language.iso eng -
dc.relation.alleditors Vojtìch Svátek -
dc.relation.conferencedate 24 September 2004 -
dc.relation.conferencename Knowledge Discovery and Ontologies Worskshop 2004 -
dc.relation.conferenceplace Pisa -
dc.relation.firstpage 79 -
dc.relation.ispartofbook Proceedings of the Knowledge Discovery and Ontologies Worskshop 2004 -
dc.relation.lastpage 84 -
dc.relation.numberofpages 6 -
dc.subject.keywords Ontology Engineering -
dc.subject.keywords Text Mining -
dc.subject.singlekeyword Ontology Engineering *
dc.subject.singlekeyword Text Mining *
dc.title Mining literary texts using domain ontologies en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 91085 -
iris.mediafilter.data 2025/04/19 03:30:04 *
iris.orcid.lastModifiedDate 2024/04/04 17:48:47 *
iris.orcid.lastModifiedMillisecond 1712245727174 *
iris.sitodocente.maxattempts 1 -
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/57545
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