基于文献链接信息分析的科技资源风险评估

文献中的链接将文献与数据、代码、文档、网页等科技资源相关联,资源链接引用的上下文信息反映了科研活动中科研主体与科技资源形成的关系。该文通过对文献中的链接信息进行细粒度分析,提出了一种对其关联的科技资源种类和引用目的进行知识建模的方法,并在大规模文献数据集上进行了实证。同时从国内外科技资源的利用情况出发,对科技资源的重要程度、发展方向、使用风险等进行了深入的探索。该文可为了解国内外前沿技术进展,以及我国科研活动中科技资源风险评估判定提供科学依据,且对于自然语言处理领域中对科技文献文本的分析研究具有重大意义。

Risk Assessment of Scientific Resources Based on Hyperlink Information Analysis in Literature

The hyperlinks of resources in scientific literature include data, code, documents, and web pages. The citation context information of the resources reflects the relationship between scientific research subjects and scientific resources in scientific research activities. Based on the fine-grained analysis of the citation information in the literature, this paper proposes a novel knowledge modeling method to characterize the resource categories and the resource citation purposes, and conducts an empirical evaluation on large-scale scientific literature datasets. Upon detailed analysis into the utilization of scientific resources at home and abroad, we explore the importance, the direction of development and the risks of use for such resources. This framework can be used to understand the progress of the advanced technologies at home and abroad, and can further provide scientific evidence for the assessment of the fateful resources in China’s scientific research activities.