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Marques Redigolo, F.; Lopes Fujita, M.S.; Gil-Leiva, I.: Guidelines for subject analysis in subject cataloging (2022)
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- Abstract
- The representation of information in subject cataloging as a result of subject analysis will depend on the cataloger's prior knowledge, influenced by subjectivity. The subject analysis in cataloging is a central theme of this investigation with the aim to elaborate guidelines for subject analysis in cataloging. For this purpose, how books are cataloged in university libraries has been verified. The Individual Verbal Protocol was applied with catalogers from Brazilian and Spanish University Libraries. Directions for the elements and variables of the subject analysis and procedures for good development were obtained to constitute the Guidelines of Subject Analysis in Cataloging. It is concluded that the guidelines formed by four sections are indicated for incorporation in subject cataloging procedure manuals for the purpose of improving the levels of representation and information retrieval results.
- Date
- 29. 9.2022 18:14:27
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Gil-Leiva, I.; Munoz, V.R.: ¬Los origines del almacenamiento y recuperacion de informacion (1996)
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- Footnote
- Übers. des Titels: Origins of information storage and retrieval
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Gil-Leiva, I.: SISA-automatic indexing system for scientific articles : experiments with location heuristics rules versus TF-IDF rules (2017)
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- Abstract
- Indexing is contextualized and a brief description is provided of some of the most used automatic indexing systems. We describe SISA, a system which uses location heuristics rules, statistical rules like term frequency (TF) or TF-IDF to obtain automatic or semi-automatic indexing, depending on the user's preference. The aim of this research is to ascertain which rules (location heuristics rules or TF-IDF rules) provide the best indexing terms. SISA is used to obtain the automatic indexing of 200 scientific articles on fruit growing written in Portuguese. It uses, on the one hand, location heuristics rules founded on the value of certain parts of the articles for indexing such as titles, abstracts, keywords, headings, first paragraph, conclusions and references and, on the other, TF-IDF rules. The indexing is then evaluated to ascertain retrieval performance through recall, precision and f-measure. Automatic indexing of the articles with location heuristics rules provided the best results with the evaluation measures.
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Souza, R.R.; Gil-Leiva, I.: Automatic indexing of scientific texts : a methodological comparison (2016)
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- Source
- Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
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Gil-Leiva, I.; Alonso-Arroyo, A.: Keywords given by authors of scientific articles in database descriptors (2007)
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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
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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)
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- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
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Pulgarin, A.; Gil-Leiva, I.: Bibliometric analysis of the automatic indexing literature : 1956-2000 (2004)
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- Source
- Information processing and management. 40(2004) no.2, S.365-377
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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)
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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
