我们引用的方式:用于定义书目参考的跨学科通用元数据

Erika Alves dos Santos, S. Peroni, M. L. Mucheroni
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引用次数: 3

摘要

. 目前在文章中观察到的引用实践非常嘈杂,令人困惑,而且根本没有标准化,这使得人类和任何参考文献提取软件对被引用作品的识别都存在问题。在这项工作中,我们希望研究引用不同类型实体的引用实践,特别是了解书目引用中最常用的元数据是什么。我们从27个不同学科领域的期刊文章中提取了34140个参考书目,从中发现了36种不同类型的被引用实体(被引用最多的是文章、书籍和论文)。对这些参考书目的分析,按引用实体的特定类型分组,使我们能够突出显示用于定义跨主题领域的参考书目的最常用元数据。然而,我们也注意到,在某些情况下,参考书目并没有提供基本的要素来方便地识别它们所引用的作品。
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The way we cite: common metadata used across disciplines for defining bibliographic references
. Current citation practices observed in articles are very noisy, confus-ing, and not standardised at all, making the identification of the cited works problematic for humans and any reference extraction software. In this work, we want to investigate on such citation practices for referencing different types of entities and, in particular, for understanding what the most used metadata in bibliographic references are. We identified 36 different types of cited entities (the most cited ones were articles, books, and proceeding papers) within the 34,140 bibliographic references extracted from a huge set of journal articles of 27 different subject areas. The analysis of such bibliographic references, grouped by the particular type of cited entities, enabled us to highlight the most used metadata for defining bibliographic references across the subject areas. However, we also noticed that, in some cases, bibliographic references did not provide the essential elements to easily identify the work they refer to.
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