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  • × theme_ss:"Automatisches Indexieren"
  1. Gil-Leiva, I.; Munoz, J.V.R.: Analisis de los descriptores de diferentes areas del conocimiento indizades en bases de datos del CSIC : Aplicacion a la indizacion automatica (1997) 0.03
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    Abstract
    Studies the value of scientific articles' titles and abstracts as sources of terms for document indexing in relation to 6 areas of knowledge: library and information science, medicine, chemistry, biology, psychology and physics, indexed in the databases ISOC, IME and ICYT of the CSIC. Also examines the syntagmatic structures of the indexing terms found in the field 'descriptors'. as well as the relationship between length of document and number of descriptors. Concludes that if the abstracts are not well made and the titles are not precise, they are not definitive sources for the extractions of concepts; the most common syntactic structure is the noun phrase, followed by noun+adjective and noun+noun; and no significant relationship was found between length of document and number of descriptors assigned to it
    Field
    Informationswissenschaft
    Bibliothekswesen