Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloToward a Standard Lexical Resource in the Bio Domain
Anno di pubblicazione2007
Formato
  • Elettronico
  • Cartaceo
Autore/iQuochi V.; Del Gratta R.; Sassolini E.; Monachini M.; Calzolari N.
Affiliazioni autoriCNR-ILC, Pisa
Autori CNR e affiliazioni
  • VALERIA QUOCHI
  • RICCARDO DEL GRATTA
  • MONICA MONACHINI
  • EVA SASSOLINI
  • NICOLETTA ZAMORANI
Lingua/e
  • inglese
AbstractThe present paper describes a large-scale lexical resource for the biology domain designed both for human and for machine use. This lexicon aims at semantic interoperability and extendability, through the adoption of ISO-LMF standard for lexical representation and through a granular and distributed encoding of relevant information. The first part of this contribution focuses on three aspects of the model that are of particular interest to the biology community: the treatment of term variants, the representation on bio events and the alignment with a domain ontology. The second part of the paper describes the physical implementation of the model: a relational database equipped with a set of automatic uploading procedures. Peculiarity of the BioLexicon is that it combines features of both terminologies and lexicons. A set verbs relevant for the domain is also represented with full details on their syntactic and semantic argument structure.
Lingua abstract-
Altro abstract-
Lingua altro abstract-
Pagine da295
Pagine a299
Pagine totali-
Rivista-
Numero volume della rivista-
Serie/Collana-
Titolo del volume-
Numero volume della serie/collana-
Curatore/i del volume-
ISBN978-83-7177-413-3
DOI-
Editore
  • Fundacja Uniwersytetu im A. Mickiewicza, Poznan (Polonia)
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
Parole chiaveLexical representation model, Lexical Database, Computational Lexicography, Special Domains, Standards
Link (URL, URI)-
Titolo convegno/congressoLTC07 - 3rd Language and Technology Conference: Human Language Technology. Challenges of the Information Society:
Luogo convegno/congressoPoznan, Poland
Data/e convegno/congresso5-7 Ottobre 2007
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
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

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 storiche, filosofiche, psicologiche e pedagogiche
NoteIn: LTC 2007 - Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference (Poznan, Poland, 5-7 october 2007). Proceedings, vol. 5603 pp. 325 - 335. Z. Vetulani and H. Uszkoreit (eds.). (Lecture Notes in Computer Science). Springer Berlin / Heidelberg, 2009.
Descrizione sintetica del prodottoABSTRACT: The present paper describes a large-scale lexical resource for the biology domain designed both for human and for machine use. This lexicon aims at semantic interoperability and extendability, through the adoption of ISO-LMF standard for lexical representation and through a granular and distributed encoding of relevant information. The first part of this contribution focuses on three aspects of the model that are of particular interest to the biology community: the treatment of term variants, the representation on bio events and the alignment with a domain ontology. The second part of the paper describes the physical implementation of the model: a relational database equipped with a set of automatic uploading procedures. Peculiarity of the BioLexicon is that it combines features of both terminologies and lexicons. A set verbs relevant for the domain is also represented with full details on their syntactic and semantic argument structure.