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| Study on the Recognition Method of Frontier Topic in the Medical Field |
| Fan Shaoping, An Xinying, Yan Guilai, Li Yong |
| Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing 100020 |
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Abstract 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.
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Received: 25 February 2018
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