An information Content-Based Approach for Measuring Concept Semantic Similarity in WordNet
An information Content-Based Approach for Measuring Concept Semantic Similarity in WordNet
复制标题
WordNet 中基于信息内容的概念语义相似度测量方法
DOI：
10.1007/s11277-018-5429-7
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发表时间：
2018-03
影响因子：
2.2
通讯作者：
Kejun Zhang
中科院分区：
文献类型：
--
作者：
Xiaogang Zhang;Shouqian Sun;Kejun Zhang
Computing information content (IC) of a concept is a core issue for semantic similarity measures of IC-based. So far, little works focused on calculating the IC of multiple inheritance nodes. So in this paper, a new IC computing model is proposed to calculate the IC of node (including single inheritance node and multiple inheritances node) in WordNet. This model calculates the IC of the concept through the parameters hypernyms, hyponyms, relative depth, maximum nodes and siblings. Experimental results of “poison” snippet in WordNet taxonomy shows that this model can effectively deal with the cases of single inheritance and multiple inheritance. Meanwhile, the results indicate this model is sensitive to distinguish the IC value of nodes while one of relative depth, hyponym, hypernym or sibling is different. Based on proposed model, a taxonomical semantic similarity measure is proposed to compute the semantic similarity of multiple inheritance nodes. Finally, this paper compares proposed approach with other similarity measures based IC in the given fragment of WordNet classification tree, and the results show that the proposed similarity approach acquires good performance.
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DOI：
10.1016/j.joi.2016.09.006
发表时间：
2016-11
期刊：
J. Informetrics
影响因子：
--
作者：
Yi Zhang;Lining Shang;Lu Huang;A. Porter;Guangquan Zhang;Jie Lu;Donghua Zhu
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DOI：
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2004
期刊：
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影响因子：
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DOI：
10.4018/jswis.2012040102
发表时间：
2012-04
期刊：
Int. J. Semantic Web Inf. Syst.
影响因子：
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作者：
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影响因子：
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作者：
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DOI：
10.3115/981732.981751
发表时间：
1994-06
期刊：
--
影响因子：
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