SciELO suggester: An intelligent support tool for cataloging library resources

Publication date: Available online 21 February 2016 Source:Library & Information Science Research Author(s): Natalia L. Mitzig, Mónica S. Mitzig, Fernando A. Martínez, Ricardo A. Piriz, Víctor M. Ferracutti, María Paula González, Ana G. Maguitman 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...
Source: Library and Information Science Research - Category: Databases & Libraries Source Type: research