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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.
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Ferracutti, Victor M.
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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
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Library
dc.subject
Suggester
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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


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