Analysis on Method of Semantic Similarity Computation Based on Tree Structure

HAN Xin; FAN Yong-sheng; MA Chun-sen; YANG He-ping

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Analysis on Method of Semantic Similarity Computation Based on Tree Structure

更新时间：2026-09-04

- Analysis on Method of Semantic Similarity Computation Based on Tree Structure
- Vol. 29, Issue 5, Pages: 38-41(2012)
- 作者机构：
  
  1. 1 中北大学机构电子与计算机科学技术学院,山西,太原,030051
  2. 2 中国农业科学院机构植物保护研究所, 1O,北京,0193
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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韩欣, 樊永生, 马春森, 杨和平. 基于树状结构的语义相似度计算方法分析[J]. 微电子学与计算机, 2012, 29(5): 38-41.

HAN Xin, FAN Yong-sheng, MA Chun-sen, et al. Analysis on Method of Semantic Similarity Computation Based on Tree Structure[J]. 2012, 29(5): 38-41.
韩欣, 樊永生, 马春森, 杨和平. 基于树状结构的语义相似度计算方法分析[J]. 微电子学与计算机, 2012, 29(5): 38-41. DOI：

HAN Xin, FAN Yong-sheng, MA Chun-sen, et al. Analysis on Method of Semantic Similarity Computation Based on Tree Structure[J]. 2012, 29(5): 38-41. DOI：

摘要

文中提出了基于树状结构的语义相似度计算方法.结合概念节点之间的语义关系、语义距离、概念节点的深度、密度对语义相似度的影响

利用树的层次关系来表达概念节点之间的语义信息

并对概念节点密度的计算进行改进

加入了可调节的参数

以适应不同的情景.通过实验验证了该算法在查准率方面具有较强的优越性.

Abstract

The paper proposes a new semantic similarity calculation method which is based on tree structure.It combines factors that affect semantic similarity such as the semantic relation between concept nodes

semantic distance

the depth of concept nodes and node density.It uses the tree hierarchy to express the semantic information between concept nodes

and improve the traditional method to compute the density of concept nodes

also joined the adjustable parameters to adapt to different scenarios.At last it is verified this algorithm has a strong advantage by experiments.

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