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dc.contributor.author Mitzig, Natalia l.
dc.contributor.author Mitzig, Mónica S.
dc.contributor.author Martinez, Fernando A.
dc.contributor.author Piriz, Ricardo A.
dc.contributor.author Ferracutti, Victor M.
dc.contributor.author González, María Paula
dc.contributor.author Maguitman, Ana Gabriela
dc.date.available 2018-05-08T17:33:07Z
dc.date.issued 2016-01
dc.identifier.citation Mitzig, Natalia l.; Mitzig, Mónica S.; Martinez, Fernando A.; Piriz, Ricardo A.; Ferracutti, Victor M.; et al.; SciELO Suggester: An intelligent support tool for cataloging library resources; Elsevier; Library & Information Science Research; 38; 1; 1-2016; 39-51
dc.identifier.issn 0740-8188
dc.identifier.uri http://hdl.handle.net/11336/44453
dc.description.abstract Existing cataloging interfaces are designed to reduce the bottleneck of creating, editing, and refining bibliographic records by offering a convenient framework for data entry. However, the cataloger still has to deal with the difficult task of deciding what information to include. The SciELO Suggester system is an innovative tool developed to overcome certain general limitations encountered in current mechanisms for entering descriptions of library records. The proposed tool provides useful suggestions about what information to include in newly created records. Thus, it assists catalogers with their task, as they are typically unfamiliar with the heterogeneous nature of the incoming material. The suggester tool applies case-based reasoning to generate suggestions taken from material previously cataloged in the SciELO scientific electronic library. The system is implemented as a web service and it can be easily used by installing an add-on for the Mozilla Firefox browser. The tool has been evaluated through a human-subject study with catalogers and through an automatic test using a collection consisting of 5742 training examples and 120 test cases from 12 different subject areas. In both experiments the system has shown very good performance. These evaluations indicate that the use of case-based reasoning provides a powerful alternative to traditional ways of identifying subject areas and keywords in library resources. In addition, a heuristic evaluation of the tool was carried out by taking as a starting point the Sirius heuristic-based framework, resulting in a very good score. Finally, a specially designed cognitive walk was completed with catalogers, providing additional insights into the strengths and weaknesses of the tool.
dc.format application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject CATALOGING
dc.subject LIBRARY
dc.subject SUGGESTER
dc.subject CASE-BASED REASONING
dc.subject.classification Ciencias de la Computación
dc.subject.classification Ciencias de la Computación e Información
dc.subject.classification CIENCIAS NATURALES Y EXACTAS
dc.title SciELO Suggester: An intelligent support tool for cataloging library resources
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2018-05-04T21:06:53Z
dc.journal.volume 38
dc.journal.number 1
dc.journal.pagination 39-51
dc.journal.pais Países Bajos
dc.journal.ciudad Amsterdam
dc.description.fil Fil: Mitzig, Natalia l.. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Biblioteca Central; Argentina
dc.description.fil Fil: Mitzig, Mónica S.. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
dc.description.fil Fil: Martinez, Fernando A.. Universidad Nacional del Sur. Biblioteca Central; Argentina
dc.description.fil Fil: Piriz, Ricardo A.. Universidad Nacional del Sur. Biblioteca Central; Argentina
dc.description.fil Fil: Ferracutti, Victor M.. Universidad Nacional del Sur. Biblioteca Central; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
dc.description.fil Fil: González, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
dc.description.fil Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina
dc.journal.title Library & Information Science Research
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0740818816300251
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.lisr.2016.01.001
dc.conicet.fuente individual


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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)