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[目的 /意义]利用关联数据名称唯一性特点,对书目数据进行语义化关联组织,使不同图书馆资源通过文献版本关系发现实现语义聚集。[方法 /过程]分析书目关系类型及文献不同版本的特点,提出文献不同版本类型对应的版本关系,然后采用属性值顺序匹配方法,经过同种文献确定、版本关系发现两个步骤发现文献之间的版本关系,并利用美国国会图书馆、德国国家图书馆相关数据以及维基关联数据进行实证研究。[结果/结论]构建基于关联数据、书目数据的文献版本关系发现方法,实现同种文献不同版本的语义关联,发现实证数据间的版本关系,并指出其应用方向。通过该方法可以提供基于关联数据的知识检索服务,满足用户阅读、科研需求。
[Purpose / Significance] Using the uniqueness of the names of the related data, the bibliographic data is semantically related and organized so that the different library resources can be semantically aggregated through the relationship between the versions of the documents. [Method / Process] This paper analyzes the types of bibliographic relations and the characteristics of different versions of the documents, proposes the version relations corresponding to the different versions of the documents, and then uses the attribute value order matching method to determine the same type of documents, Version of the relationship between the use of the Library of Congress, the German National Library of Germany data and related data for empirical research. [Results / Conclusion] The document version relationship discovery method based on related data and bibliographic data was constructed to realize the semantic association of different versions of the same kind of documents. The version relationship between the empirical data was found and its application direction was pointed out. By this method, the knowledge retrieval service based on the related data can be provided, so as to satisfy users’ reading and scientific research needs.