1School of Information Management, Nanjing University, Nanjing 210093, China 2Institute of Medical Information,Chinese Academy of Medical Sciences, Beijing 100020, China
[Objective] This paper proposes a method updating integrated concept for the version evolution of source Knowledge Organization Systems (KOSs), aiming to promote the dynamic development of the heterogeneous terminology integration system.[Methods] Our model focuses on terms, synonym sets and preferred terms of concepts. Firstly, we identified terms changing types and preferred terms changing modes of concepts in source KOSs by exact string matching. Then, we recognized their synonym sets changing patterns through concept vector space. Finally, we updated synonym sets and preferred terms of integrated concepts fusion rule and similarity. We also assessed the results yielded by our method using medical integration concept set of STKOS and its important sources, MeSH and HUGO.[Results] The synonymous merging rate of new term from source KOSs reached 94.96%, and the update accuracy of preferred term of changed integrated concepts reached 99.91%.[Limitations] We did not consider ambiguity of the terms and the results were affected by the number of vocabulary and update order.[Conclusions] The proposed method can be applied to update concepts of synonymous knowledge organization systems because of their source KOSs evolution.
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