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  • × author_ss:"Gil-Leiva, I."
  1. Pulgarin, A.; Gil-Leiva, I.: Bibliometric analysis of the automatic indexing literature : 1956-2000 (2004) 0.03 
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    Abstract
    We present a bibliometric study of a corpus of 839 bibliographic references about automatic indexing, covering the period 1956-2000. We analyse the distribution of authors and works, the obsolescence and its dispersion, and the distribution of the literature by topic, year, and source type. We conclude that: (i) there has been a constant interest on the part of researchers; (ii) the most studied topics were the techniques and methods employed and the general aspects of automatic indexing; (iii) the productivity of the authors does fit a Lotka distribution (Dmax=0.02 and critical value=0.054); (iv) the annual aging factor is 95%; and (v) the dispersion of the literature is low.
    Source
    Information processing and management. 40(2004) no.2, S.365-377
  2. Gil-Leiva, I.; Alonso-Arroyo, A.: Keywords given by authors of scientific articles in database descriptors (2007) 0.03 
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    Abstract
    In this article, the authors analyze the keywords given by authors of scientific articles and the descriptors assigned to the articles to ascertain the presence of the keywords in the descriptors. Six-hundred forty INSPEC (Information Service for Physics, Engineering, and Computing), CAB (Current Agriculture Bibliography) abstracts, ISTA (Information Science and Technology Abstracts), and LISA (Library and Information Science Abstracts) database records were consulted. After detailed comparisons, it was found that keywords provided by authors have an important presence in the database descriptors studied; nearly 25% of all the keywords appeared in exactly the same form as descriptors, with another 21% though normalized, still detected in the descriptors. This means that almost 46% of keywords appear in the descriptors, either as such or after normalization. Elsewhere, three distinct indexing policies appear, one represented by INSPEC and LISA (indexers seem to have freedom to assign the descriptors they deem necessary); another is represented by CAB (no record has fewer than four descriptors and, in general, a large number of descriptors is employed). In contrast, in ISTA, a certain institutional code exists towards economy in indexing because 84% of records contain only four descriptors.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1175-1187
  3. Gil-Leiva, I.; Munoz, V.R.: ¬Los origines del almacenamiento y recuperacion de informacion (1996) 0.00 
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    Source
    Boletin de la Asociacion Andaluza de Bibliotecarios. 12(1996) no.42, S.9-18
  4. Gil-Leiva, I.; Lopes Fujita, M.S.; Díaz Ortuño, P.M.; Reis, D.M. dos: Is the massive incorporation of e-books into university libraries devaluing the technical processes related to the assigning of subject headings and classification codes? (2018) 0.00 
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    Pages
    S.314-320
  5. Souza, R.R.; Gil-Leiva, I.: Automatic indexing of scientific texts : a methodological comparison (2016) 0.00 
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    Pages
    S.243-250
  6. 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) 0.00 
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    Source
    Revista Española de Documentaçion Cientifica. 20(1997) no.2, S.150-160
  7. Gil-Leiva, I.: SISA-automatic indexing system for scientific articles : experiments with location heuristics rules versus TF-IDF rules (2017) 0.00 
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    Source
    Knowledge organization. 44(2017) no.3, S.139-162

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