论文标题
我们引用的方式：跨学科的常见元数据定义书目参考
The way we cite: common metadata used across disciplines for defining bibliographic references
论文作者
论文摘要
文章中观察到的当前引用实践非常嘈杂，混乱且不标准化，这使得在Hu-Mans和任何参考提取软件中确定了引用的作品有问题。在这项工作中，我们希望研究这种引用实践，以引用不同类型的实体，尤其是了解参考文献中最常用的元数据。我们在34,140个书目参考文献中确定了36种引用的实体（最引用的实体是文章，书籍和程序论文），这些参考文献从有关27个不同主题AR-EAS的大量期刊文章中提取。通过特定类型的引用实体分组的此类书目参考的分析使我们能够突出显示整个主题领域的最常用的元数据，用于删除书目参考。但是，我们还注意到，在某些情况下，书目参考文献并未提供必要的要素来识别他们所指的工作。
Current citation practices observed in articles are very noisy, confusing, and not standardised, making identifying the cited works problematic for hu-mans and any reference extraction software. In this work, we want to investigate such citation practices for referencing different types of entities and, in particular, to understand the most used metadata in bibliographic refer-ences. We identified 36 types of cited entities (the most cited ones were articles, books, and proceeding papers) within the 34,140 bibliographic references extracted from a vast set of journal articles on 27 different subject ar-eas. The analysis of such bibliographic references, grouped by the particular type of cited entities, enabled us to highlight the most used metadata for de-fining bibliographic references across the subject areas. However, we also noticed that, in some cases, bibliographic references did not provide the essential elements to identify the work they refer to easily.
