Development of principles for merging bibliographic records for the automation of union catalogs
DOI:
https://doi.org/10.46299/j.isjea.20250401.10Keywords:
Merging bibliographic records, Union catalog automation, Bibliographic data, MARC21, UNIMARC, Artificial IntelligenceAbstract
The development of principles for merging bibliographic records for the automation of union catalogs is an important part of improving library information systems, which facilitates easier access to knowledge and information. Given the increasing volume of bibliographic data and the need for its rapid processing, it is crucial to develop effective methods for integrating records from various sources, ensuring accuracy and ease of use. One of the main challenges is the automation of the cleaning and preparation of bibliographic records, which involves converting data from different formats, such as MARC21 to UNIMARC, as well as identifying and correcting errors, including typographical ones. Algorithms are employed to quickly process large datasets and improve the quality of records. A key stage is data comparison to identify duplicate records. The latest artificial intelligence (AI) methods are applied to automatically find similar or duplicate records, considering the context and specifics of each record. The use of such approaches significantly improves search accuracy and reduces the risk of errors when merging data. Data merging is also automated through AI techniques, which helps reduce manual interventions and increase the efficiency of library operations. As a result of this automation, library staff can focus on more critical aspects of their work, such as data analytics, content research, and providing high-quality services to users. The process of integrating data from various sources and formats, especially using AI technologies and machine learning algorithms, enables the creation of union catalogs that meet modern requirements for accuracy, speed, and accessibility of information. This approach allows libraries to significantly enhance the efficiency of their operations by optimizing routine processes and improving user interaction.References
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Copyright (c) 2025 Oleh Vasylenko
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