A Standard Lexical-Terminological Resource for the Bio Domain (Articolo in rivista)

Type
Label
  • A Standard Lexical-Terminological Resource for the Bio Domain (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-04235-5_28 (literal)
Alternative label
  • Quochi V.; Del Gratta R.; Sassolini E.; Bartolini R.; Monachini M.; Calzolari N. (2009)
    A Standard Lexical-Terminological Resource for the Bio Domain
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Quochi V.; Del Gratta R.; Sassolini E.; Bartolini R.; Monachini M.; Calzolari N. (literal)
Pagina inizio
  • 325 (literal)
Pagina fine
  • 335 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 5603 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Lecture Notes in Artificial Intelligence, vol. 5603 pp. 325 - 335. Human Language Technology - Challenges of the Information Society. Z. Vetulani and H. Uszkoreit (eds.). Springer Berlin / Heidelberg, 2009. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 10 (literal)
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Linguistica Computazionale \"Antonio Zampolli\" (literal)
Titolo
  • A Standard Lexical-Terminological Resource for the Bio Domain (literal)
Abstract
  • 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. (literal)
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