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Automatic Identification of 'Works' toward Construction of FRBRized OPACs: An Experiment on JAPAN/MARC Bibliographic Records

机译:自动识别构造为FRBR的OPAC的“作品”:JAPAN / MARC书目记录的实验

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摘要

Purpose: Efforts have been made to improve the OPACs by collocating bibliographic records sharing the same "work" and navigating users among records under a certain "work," according to the Functional Requirements for Bibliographic Records (FRBR). This paper investigates methods of automatically identifying "works," i.e., grouping bibliographic records sharing the same work, for the JAPAN/MARC records, which are typical Japanese bibliographic records created and maintained by libraries in Japan. It reports the extent to which records can be automatically identified as members of a particular work and also which of the possible methods are effective.; Methods: The method used in this study is to generate work identification keys for each work represented in a bibliographic record and then to bring the keys representing the same works together. The keys are in principle constructed as a combination of an author name and a title from the record. Several methods of generating such keys were examined and the clustering of keys was executed for each method. The clusters built automatically were evaluated by comparing them with the sample correct sets built manually.; Results: The results of the experiment show that the proposed method is effective in average cases; however, the performance depends on the characteristics of works, for example, the volume of records sharing the same work, whether anonymous or not, and whether uniform titles exist. It also shows that it is effective to generate keys for every bibliographic hierarchical level with data elements such as author headings, statements of responsibility, descriptive titles, and title headings.
机译:目的:根据书目记录功能要求(FRBR),已努力通过并排共享相同“工作”的书目记录并在某个“工作”下的记录中导航用户来改进OPAC。本文研究了自动识别“作品”的方法,即,将共享同一作品的书目记录分组为JAPAN / MARC记录,这是日本图书馆创建和维护的典型日本书目记录。它报告了可以将记录自动识别为特定作品的成员的程度,以及哪种可能的方法有效。方法:本研究中使用的方法是为书目记录中表示的每个作品生成作品识别密钥,然后将代表相同作品的密钥聚集在一起。原则上,密钥是由记录中的作者姓名和标题组成的。研究了生成此类密钥的几种方法,并对每种方法执行了密钥聚类。通过将它们与手动构建的样本正确集合进行比较,来评估自动构建的集群。结果:实验结果表明,该方法在一般情况下是有效的。但是,表演取决于作品的特征,例如,共享同一作品的记录量(是否匿名)以及是否存在统一的标题。它还显示了使用数据元素(例如作者标题,责任声明,描述性标题和标题)为每个书目层次结构级别生成密钥是有效的。

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