基于层次聚类的图书元数据语义聚合研究

打开文本图片集

[关键词]图书元数据层次聚类BERT模型语义相似度语义距离

[中图分类号]G250.7

[文献标志码］A[DOI]10.19764/j.cnki.tsgjs.20240420

[本文引用格式]，.基于层次聚类的图书元数据语义聚合研究[J].图书馆建设，2025（1）：82-93.

[Abstract]Achievingdeepfusionofheterogeneousbookresourcesfrommultiplesourcesiscrucialforexpandingthebreadthand comprehensivenessoflbrarysericesandpromotingtedevelopmentofinteligntlibarysystems.Amongthesechalengs，tesmantic agregationofdiverseanddiferentlynamedbookmetadataplaysapivotalroleinfaclitingtheepintegrationofbookinfmationfrom varioussurstdadalntfciabts Chineseisusedasawordembedingmodel.Fromtheperspectivesofmetadatafieldsthemselvesandtributevalues，semantisimilarity anddistancebtweenmetadataareanalyzd.Itisfundtatbasedndistanematrixierarchicalusteringcanbeachievedandang correspondencebetweenmetadatacanbeautomaticllyonstructed，therebyachievingsemanticagregationbetweenbookmetadataih similar names or atributes.Experimental results demonstrate an impressive mapping relationship precision rateof 93.33% ，significantly reducing thehumanefortrequiredduringthemetadataaggegationandfusionprocess.Furthermore，theproposedsemanticaggegationappoach forbookmetadataehibitsextensivealicabityalowingitsiterativreuseinotheriformationagregationsenaroswilmintaining compatibility and generality.

[Keywords]Book metadata; Hierarchical clustering; BERTmodel; Semantic similarity; Semantic distance

0引言

图书作为知识的实际载体与传播介质，广泛分布在不同的检索发现平台，虽然通常在各个平台之间预留了访问获取链接，但由于它们在不同平台的元数据格式名称并不统一，使其在内容层面的关联整合层次较浅，呈现出了“联而不合”的局面。（剩余13769字）