Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloSimple-Clips ongoing research: more information with less data by implementing inheritance
Anno di pubblicazione2008
Formato-
Autore/iDel Gratta, Riccardo; Ruimy, Nilda; Toral, Antonio
Affiliazioni autoriCNR
Autori CNR e affiliazioni
  • RICCARDO DEL GRATTA
  • ANTONIO TORAL RUIZ
  • NILDA RUIMY
Lingua/e
  • inglese medio (1100-1500)
AbstractThis 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.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2380
Pagine a2385
Pagine totali6
Rivista-
Numero volume della rivista-
Serie/Collana-
Titolo del volume-
Numero volume della serie/collana-
Curatore/i del volume-
ISBN2-9517408-4-0
DOI-
Editore-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000324028902078)
Parole chiaveLexicon, Knowledge representation, Lexical database
Link (URL, URI)-
Titolo convegno/congressoLREC 2008, Sixth International Conference on Language Resources and Evaluation
Luogo convegno/congressoMarrakech, Marocco
Data/e convegno/congresso28-30/5/2008
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
Licenza-
Scadenza embargo-
Note/Altre informazioni-
Strutture CNR
  • ILC — Istituto di linguistica computazionale "Antonio Zampolli"
Moduli/Attività/Sottoprogetti CNR
  • IC.P02.005.001 : Risorse e Tecnologie Linguistiche: modelli, metodi di sviluppo, applicazioni, disegno di strategie internazionali
Progetti Europei-
Allegati
Simple-Clips ongoing research: more information with less data by implementing inheritance (documento privato )
Tipo documento: application/pdf

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareLanguage & Linguistics
Area valutazione CIVRScienze dell'Antichità, filologico-letterarie e storico-artistiche
NoteIn: LREC - LREC 2008, Sixth International Conference on Language Resources and Evaluation (Palais des Congrès Mansour Eddahbi, Marrakech, Maroc, 26 May - 1 June 2008). Proceedings, pp. 2380 - 2385. Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Daniel Tapias (eds.). European Language Resources Association (ELRA), 2008.
Descrizione sintetica del prodottoABSTRACT: This paper presents the application of inheritance to the formal taxonomy (is-a) of a semantically rich Language Resource 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 regarding space occupancy is carried out, yielding a significant space reduction of 22%. This is corroborated by its actual application, which reduces the number of explicitly encoded relations in this lexicon by 18.4%. Later on, we study the issues that inheritance poses to the Language Resources, and discuss sensitive solutions to tackle each of them, including examples. Finally, we present a discussion on the application of inheritance, from which two side effect advantages arise: consistency enhancement and inference capabilities.