基于層次聚類的圖書(shū)元數(shù)據(jù)語(yǔ)義聚合研究
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[關(guān)鍵詞]圖書(shū)元數(shù)據(jù)層次聚類BERT模型語(yǔ)義相似度語(yǔ)義距離
[中圖分類號(hào)]G250.7
[文獻(xiàn)標(biāo)志碼］A[DOI]10.19764/j.cnki.tsgjs.20240420
[本文引用格式]，.基于層次聚類的圖書(shū)元數(shù)據(jù)語(yǔ)義聚合研究[J].圖書(shū)館建設(shè)，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
圖書(shū)作為知識(shí)的實(shí)際載體與傳播介質(zhì)，廣泛分布在不同的檢索發(fā)現(xiàn)平臺(tái)，雖然通常在各個(gè)平臺(tái)之間預(yù)留了訪問(wèn)獲取鏈接，但由于它們?cè)诓煌脚_(tái)的元數(shù)據(jù)格式名稱并不統(tǒng)一，使其在內(nèi)容層面的關(guān)聯(lián)整合層次較淺，呈現(xiàn)出了“聯(lián)而不合”的局面。（剩余13769字）