An Event-Centric Scientific Literature Information Organization Method

Yanyan Wang, Junsheng Zhang, Xiaodong Qiao
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Abstract

Massive scientific and technical literature has led to information overload for researchers. To obtain scientific and technical information efficiently, this paper proposes a method to organize scientific literature information with events. It aims to promoting the discovery and management of relations among scientific literature for intelligent applications. To construct the semantic link network of scientific research events, the first step is to analyze external characteristics and internal textual contents of scientific literature, and then extract information as the elements of scientific research events. Publication events, cooperation events and citation events formulate the semantic link network of scientific research events. We investigate data sources for the construction of scientific research events, and then we verify the possibility of the proposed method in the case study.
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以事件为中心的科学文献信息组织方法
大量的科技文献导致了研究人员的信息过载。为了有效地获取科技信息,本文提出了一种以事件为单位组织科技文献信息的方法。它旨在促进科学文献之间关系的发现和管理,以实现智能应用。构建科研事件的语义链接网络,首先要分析科学文献的外部特征和内部文本内容,然后提取信息作为科研事件的要素。发表事件、合作事件和引文事件构成了科研事件的语义链接网络。研究了构建科研事件的数据来源,并通过案例验证了该方法的可行性。
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