[Purpose/significance]For there are less studies on topic semantic similarity in medical field, and can't reveal the relationship between topics on the semantic level, this paper proposed the semantic similarity calculation method, in order to get the method of judging semantic relationship between topics.[Method/process]We used MeSH as computing basis. Firstly, it analyzed the structure of MeSH. Then, it calculated topic semantic similarity from three dimensions of enty terms, semantic distance and annotation. Finally, it used the field of stem cell for empirical study.[Result/conclusion]The validity of three dimensions proposed is verified by using the common verification concept words. It is found that, the young stem cell research is more novel than others between 2011-2014 through the topic semantic similarity method. In the follow-up study, it is necessary to integrate statistics method for topic similarity calculation, so as to reveal the relationship between topics, and find the novelty research topic in the field.
Fan Shaoping
,
An Xinying
,
Lu Wanhui
. The Study on Method for Topic Semantic Similarity Based on Medical Literature[J]. Library and Information Service, 2017
, 61(8)
: 96
-105
.
DOI: 10.13266/j.issn.0252-3116.2017.08.012
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