期刊论文

Wu, Chao

英文

Journal of Information Science

0165-5515

2022

48

3

283-303

10.1177/0165551520952340

The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was supported by the National Key R&D Program of China (Grant No. 2017YFB1401300 and 2017YFB1401302), the self-determined research funds of CCNU from the colleges’ basic research and operation of MOE (Grant No. CCNU19ZN011) and the Fundamental Research Funds for the Central Universities (Grant No. 2019YBZZ010).

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Taxonomy merging is an important work to provide a uniform schema for several heterogeneous taxonomies. Previous studies primarily focus on merging two taxonomies in a specific domain, while the merging of multiple taxonomies has been neglected. This article proposes a taxonomy merging approach to automatically merge multiple source taxonomies into a target taxonomy in an asymmetric manner. The approach adopts a strategy of breaking up the whole into parts to decrease the complexity of merging multiple taxonomies and employs a block-based method to reduce the scale of measuring semantic relati...