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Duplicate Journal Title Detection in References
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Author(s): Ana Kovacevic (University of Belgrade, Serbia)and Vladan Devedzic (University of Belgrade, Serbia)
Copyright: 2009
Pages: 8
Source title:
Handbook of Research on Digital Libraries: Design, Development, and Impact
Source Author(s)/Editor(s): Yin-Leng Theng (Nanyang Technological University, Singapore), Schubert Foo (Nanyang Technological University, Singapore), Dion Goh (Nanyang Technological University, Singapore)and Jin-Cheon Na (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-879-6.ch023
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Abstract
Our research efforts are oriented towards applying text mining techniques in order to help librarians make more informative decisions when selecting learning resources to be included in the library’s offer. The proper selection of learning resources to be included in the library’s offer is one of the key factors determining the overall usefulness of the library. Our task was to match abbreviated journal titles from citations with journals in existing digital libraries. The main problem is that for one journal there is often a number of different abbreviated forms in the citation report, hence the matching depends on the detection of duplicate records. We used character-based and token-based metrics together with a generated thesaurus for detecting duplicate records.
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