医学领域前沿主题识别方法研究

Study on the Recognition Method of Frontier Topic in the Medical Field

前沿主题识别一直是学科领域与图书情报领域关注的重点,特别是数据密集型科学新范式的到来,更突出了前沿主题识别研究的重要性与必要性。本文关注医学领域文献特色,根据前沿主题所具有的新颖性、创新性、学科交叉性和高关注度特征,设计各个特征计算方法,其中,创新性特征结合医学领域主题词表,采用基于语义相似度的创新性特征计算方法。利用领域实例,确定前沿主题识别方法中各特征的权重。通过实验,说明本文所提方法的有效性。本文所提前沿主题识别方法对医学领域发现更有意义的研究主题具有一定的参考价值。

Frontier topic recognition has always been a key point in the field of Library and Information Science. With the emergence of the new paradigm of data intensive science, the importance and necessity of frontier topic recognition has increased. This paper focused on the features of medical literature and designed the calculation method of each feature： novelty, innovation, interdisciplinary, and high attention. In addition, we combined it with the medical thesaurus for the method of innovation that calculated semantic similarity beside topics. To determine the weight of each feature, we used the domain example. We tested the effectiveness of the proposed recognition method through experiments. The advanced topic recognition method in this paper has a certain reference value for identifying more meaningful research topics in the medical field.