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Identification and Clustering of Chinese Same Name Authority Records on Work Relations Extending
Received date: 2017-01-03
Revised date: 2017-02-18
Online published: 2017-03-05
[Purpose/significance] We manage to deal with the question that the search result set provided by CNASS contains too many records to fulfill clustering and linking for its search service. [Method/process] We transformed the personal name authority record to RDF representation based on entity-attribute-relations according to the FRBR-LRM frame and extended the work relations of the record with linked LC and VIAF record. We designed identification and clustering algorithms of Chinese same name authority records taking full use of the extended work relations in the record to improve the efficiency of identification and clusteing. [Result/conclusion] Through the experiment on 300 result sets of searching Chinese names on CNASS, the this paper statistically analyzed cluster counters and records within the max-cluster, our identification and clustering method is effective.
Wang Ruiyun , Jia Junzhi . Identification and Clustering of Chinese Same Name Authority Records on Work Relations Extending[J]. Library and Information Service, 2017 , 61(5) : 125 -131 . DOI: 10.13266/j.issn.0252-3116.2017.05.017
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