This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Lexical Resource (LR) based on the Generative Lexicon theory, SIMPLE-CLIPS. The aim is to lighten the representation of its semantic layer by reducing the number of encoded relations. A prediction calculation on the impact of introducing inheritance as regards space occupancy is carried out, which yields a significant space reduction of 22%. This is corroborated by its actual application that reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Lexical Resources and discuss sensitive solutions, illustrated by examples, to tackle each of them. Finally, we present a discussion on the application of inheritance, from which two advantages arise: consistency enhancement and inference capabilities.

Simple-Clips ongoing research: more information with less data by implementing inheritance

Del Gratta Riccardo;Ruimy Nilda;
2008

Abstract

This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Lexical Resource (LR) based on the Generative Lexicon theory, SIMPLE-CLIPS. The aim is to lighten the representation of its semantic layer by reducing the number of encoded relations. A prediction calculation on the impact of introducing inheritance as regards space occupancy is carried out, which yields a significant space reduction of 22%. This is corroborated by its actual application that reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Lexical Resources and discuss sensitive solutions, illustrated by examples, to tackle each of them. Finally, we present a discussion on the application of inheritance, from which two advantages arise: consistency enhancement and inference capabilities.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.people Del Gratta Riccardo en
dc.authority.people Ruimy Nilda en
dc.authority.people Toral Antonio en
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/19 19:47:55 -
dc.date.available 2024/02/19 19:47:55 -
dc.date.firstsubmission 2024/10/02 16:06:14 *
dc.date.issued 2008 -
dc.date.submission 2024/12/18 18:33:44 *
dc.description.abstracteng This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Lexical Resource (LR) based on the Generative Lexicon theory, SIMPLE-CLIPS. The aim is to lighten the representation of its semantic layer by reducing the number of encoded relations. A prediction calculation on the impact of introducing inheritance as regards space occupancy is carried out, which yields a significant space reduction of 22%. This is corroborated by its actual application that reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Lexical Resources and discuss sensitive solutions, illustrated by examples, to tackle each of them. Finally, we present a discussion on the application of inheritance, from which two advantages arise: consistency enhancement and inference capabilities. -
dc.description.affiliations CNR -
dc.description.allpeople DEL GRATTA, Riccardo; Ruimy, Nilda; Toral, Antonio -
dc.description.allpeopleoriginal Del Gratta, Riccardo; Ruimy, Nilda; Toral, Antonio en
dc.description.fulltext open en
dc.description.numberofauthors 3 -
dc.identifier.isbn 2-9517408-4-0 en
dc.identifier.isi WOS:000324028902078 en
dc.identifier.uri https://hdl.handle.net/20.500.14243/65102 -
dc.language.iso eng en
dc.miur.last.status.update 2024-10-02T14:03:32Z *
dc.relation.conferencedate 28-30/5/2008 en
dc.relation.conferencename LREC 2008, Sixth International Conference on Language Resources and Evaluation en
dc.relation.conferenceplace Marrakech, Marocco en
dc.relation.firstpage 2380 en
dc.relation.ispartofbook LREC 2008, Sixth International Conference on Language Resources and Evaluation en
dc.relation.lastpage 2385 en
dc.relation.numberofpages 6 en
dc.subject.keywords Lexicon -
dc.subject.keywords Knowle -
dc.subject.keywords Lexical database -
dc.subject.singlekeyword Lexicon *
dc.subject.singlekeyword Knowle *
dc.subject.singlekeyword Lexical database *
dc.title Simple-Clips ongoing research: more information with less data by implementing inheritance 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 en
dc.ugov.descaux1 84728 -
iris.isi.extIssued 2008 -
iris.isi.extTitle Simple-Clips ongoing research: more information with less data by implementing inheritance -
iris.mediafilter.data 2025/04/02 00:50:34 *
iris.orcid.lastModifiedDate 2024/12/23 17:54:42 *
iris.orcid.lastModifiedMillisecond 1734972882282 *
iris.scopus.extIssued 2008 -
iris.scopus.extTitle Simple-Clips ongoing research: More information with less data by implementing inheritance -
iris.sitodocente.maxattempts 1 -
isi.category OT *
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.name Riccardo -
isi.contributor.name Nilda -
isi.contributor.name Antonio -
isi.contributor.researcherId FXJ-7381-2022 -
isi.contributor.researcherId FVN-3992-2022 -
isi.contributor.researcherId HSQ-4867-2023 -
isi.contributor.subaffiliation Ist Linguist Computaz -
isi.contributor.subaffiliation Ist Linguist Computaz -
isi.contributor.subaffiliation Ist Linguist Computaz -
isi.contributor.surname Del Gratta -
isi.contributor.surname Ruimy -
isi.contributor.surname Toral -
isi.date.issued 2008 *
isi.description.abstracteng This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Lexical Resource (LR) based on the Generative Lexicon theory, SIMPLE-CLIPS. The aim is to lighten the representation of its semantic layer by reducing the number of encoded relations. A prediction calculation on the impact of introducing inheritance as regards space occupancy is carried out, which yields a significant space reduction of 22%. This is corroborated by its actual application that reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Lexical Resources and discuss sensitive solutions, illustrated by examples, to tackle each of them. Finally, we present a discussion on the application of inheritance, from which two advantages arise: consistency enhancement and inference capabilities. *
isi.description.allpeopleoriginal Del Gratta, R; Ruimy, N; Toral, A; *
isi.document.sourcetype WOS.ISSHP *
isi.document.type Proceedings Paper *
isi.document.types Proceedings Paper *
isi.identifier.isi WOS:000324028902078 *
isi.journal.journaltitle SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008 *
isi.language.original English *
isi.publisher.place 55-57, RUE BRILLAT-SAVARIN, PARIS, 75013, FRANCE *
isi.relation.firstpage 2380 *
isi.relation.lastpage 2385 *
isi.title Simple-Clips ongoing research: more information with less data by implementing inheritance *
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