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Research on Literature Editions Relationship Discovery Based on Bibliographic Linked Data
Received date: 2016-03-07
Revised date: 2016-04-20
Online published: 2016-05-05
[Purpose/significance] Based on the uniqueness feature of linked data, this paper makes bibliographic data realizing semantic correlation. Then through the method of editions relationship discovery, it makes resources from different libraries realizing semantic aggregation.[Method/process] This paper analyzes the types of bibliographic relationships and characteristics of different literature editions, then points out the corresponding relationships of different editions. Then with the main method of matching attribute values by order, it takes two steps which the first is to find out the same literature and the second is to discover the relationships between different editions of the same literature. Finally, it conducts a empirical study by the data of Library of Congress, German National Library and Wikipedia. [Result/conclusion] The paper develops a method of discovering relationships of different editions of the same literature based on linked data and bibliographic data, and realizes semantic correlation of different editions. It finds out the edition relationships of empirical data and points out its application direction. Through the method, libraries can provide knowledge retrieval service based on the linked data, which can meet the needs of users' reading and research.
Liang Meihong , Zeng Jianxun . Research on Literature Editions Relationship Discovery Based on Bibliographic Linked Data[J]. Library and Information Service, 2016 , 60(9) : 123 -130 . DOI: 10.13266/j.issn.0252-3116.2016.09.017
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