Exploring Scholarly Papers Through Citations

A. Iorio, Raffaele Giannella, Francesco Poggi, S. Peroni, F. Vitali
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引用次数: 8

Abstract

Bibliographies are fundamental components of academic papers and both the scientific research and its evaluation are fundamentally organized around the correct examination and classification of scientific bibliographies. Currently, most digital libraries publish bibliographic information about their content for free, and many include the citations (outgoing and in some cases even incoming) to the papers they manage. Unfortunately no sophistication is spent for these lists: monolithic pieces of text where it is even difficult to tell automatically the authors, the title and publication details, and where users are provided with no mechanisms to filter and access full context of each citation. For instance, there is no way to know in which sentence a work was cited (the citation context) and why (the citation function). In this paper we introduce a novel environment for navigating, filtering and making sense of citations. The interface, called BEX, exploits data freely available in a Link Open Dataset about scholarly papers; end-user testing proved its efficacy and usability.
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参考书目是学术论文的基本组成部分,科学研究及其评价基本上都是围绕着科学书目的正确审查和分类来组织的。目前,大多数数字图书馆都免费发布有关其内容的书目信息,许多图书馆还包括对其管理的论文的引用(在某些情况下甚至是引用)。不幸的是,这些列表并不复杂:单个文本甚至很难自动识别作者、标题和出版细节,并且用户没有提供过滤和访问每个引用的完整上下文的机制。例如,没有办法知道在哪个句子中引用了一个作品(引用上下文)和为什么(引用功能)。本文介绍了一种用于引文导航、过滤和理解的新环境。这个名为BEX的接口利用了学术论文链接开放数据集(Link Open Dataset)中免费提供的数据;最终用户测试证明了其有效性和可用性。
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