A multi-strategy approach for the merging of multiple taxonomies

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成果类型：

期刊论文

作者：

Chen, Mao（陈矛）;Wu, Chao*;Yang, Zongkai;Liu, Sanya;Chen, Zengzhao;...

通讯作者：

Wu, Chao

作者机构：

[Chen, Mao; Yang, Zongkai; He, Xiuling; Wu, Chao; Chen, Zengzhao; Liu, Sanya] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.

通讯机构：

[Wu, Chao] C

Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

Multiple taxonomies merging;resource reuse;schema integration;taxonomy

期刊：

Journal of Information Science

ISSN：

0165-5515

年：

2022

卷：

期：

页码：

283-303

DOI：

10.1177/0165551520952340

基金类别：

National Key R&D Program of China [2017YFB1401300, 2017YFB1401302]; selfdetermined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU19ZN011]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2019YBZZ010]

机构署名：

本校为第一且通讯机构

院系归属：

国家数字化学习工程技术研究中心

摘要：

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...

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A multi-strategy approach for the merging of multiple taxonomies

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