• Journal of Korean Library and Information Science Society
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• v.55 no.1
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• pp.1-26
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• 2024

The purpose of this study is to derive an integration plan for bibliographic records by applying a duplicate verification algorithm to the item-based catalog in public libraries. To this, G Library, which was opened recently in Busan, was selected. After collecting OPAC data from G Library through web crawling, multipart monographs of Korean Literature (KDC 800) were selected and KERIS duplicate verification algorithm was applied. After two rounds of data correction based on the verification results, the duplicate verification rate increased by a total of 2.74% from 95.53% to 98.27%. Even after data correction, 24 books that were judged to be similar or inconsistent were identified as data from other published editions after receiving separate ISBN such as revised versions or hard copies. Through this, it was confirmed that the duplicate verification rate could be improved through catalog data correction work, and the possibility of using the KERIS duplicate verification algorithm as a tool to convert duplicate item-based records from public libraries into manifestation-based records was confirmed.