基于文献的科研事件表示与语义链接研究

Analyzing Representation and Semantic Links of Scientific Research Events

【目的】为满足大数据时代科研工作者快速获取科技情报、把握科技发展趋势的需求,提出一种基于文献的科研事件表示方法,以期实现多种资源类型关联的科研信息融合网络分析。【方法】通过综合科技文献的元数据和文本内容信息分析,集成科技文献的内在特征和外在特征,形成科研事件的定义与表示方法,建立科研事件之间的语义链接以形成科研事件网络。【结果】详细阐述科研事件语义链接推理规则,从时序和引用关系两个角度构建形成科研事件链。【局限】基于海量科技文献构建大规模科研事件网络,需进一步梳理完善科研事件语义链接建立、推理及一致性检查规则。【结论】科研事件网络从事件角度描述科技文献对应的科研活动及其语义关联,有助于开展基于事件的科技情报分析和信息检索应用。

[Objective] This study proposes an approach to analyze research events from scholarly literature, aiming to help researchers obtain scientific information quickly and grasp the development trends. [Methods] First, we examined the characteristics of scientific literature with the help of metadata and text content analysis. Then, we proposed a representation method for research events, and established semantic links among them to construct a network for related events. [Results] We established the semantic link building rules from the perspectives of temporal and citation relations among scientific research events. [Limitations] More research is needed to automatically or semi-automatically construct semantic links among scientific research events. [Conclusions] The network of scientific research events could improve event-based information analysis and retrieval.