Publication | Closed Access
Duplicate detection algorithms of bibliographic descriptions
13
Citations
1
References
2008
Year
EngineeringData DeduplicationDuplicate DetectionDifferent Library SystemsCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningComputational LinguisticsLanguage StudiesDuplication Detection AlgorithmsData ManagementMachine TranslationEntity DisambiguationKnowledge DiscoveryTerminology ExtractionRecord LinkageContent Similarity DetectionDuplicate Detection AlgorithmsLinguistics
Abstract Purpose – The purpose of this paper is to focus on duplicate record detection algorithms used for detection in bibliographic databases. Design/methodology/approach – Individual algorithms, their application process for duplicate detection and their results are described based on available literature (published articles), information found at various library web sites and follow‐up e‐mail communications. Findings – Algorithms are categorized according to their application as a process of a single step or two consecutive steps. The results of deletion, merging, and temporary and virtual consolidation of duplicate records are studied. Originality/value – The paper presents an overview of the duplication detection algorithms and an up‐to‐date state of their application in different library systems.
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