An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision

XU De-zhi; YI Xiao-yuan; TANG Zhe

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An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision

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- An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision
- Vol. 34, Issue 11, Pages: 48-52(2017)
- 作者机构：
  
  中南大学信息科学与工程学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
- DOI：
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- Published：2017
- 稿件说明：
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徐德智, 易晓媛, 汤哲. 基于AHP-熵权决策的本体映射优化算法[J]. 微电子学与计算机, 2017, 34(11): 48-52.

XU De-zhi, YI Xiao-yuan, TANG Zhe. An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision[J]. 2017, 34(11): 48-52.
徐德智, 易晓媛, 汤哲. 基于AHP-熵权决策的本体映射优化算法[J]. 微电子学与计算机, 2017, 34(11): 48-52. DOI：

XU De-zhi, YI Xiao-yuan, TANG Zhe. An Ontology Mapping Optimization Algorithm Based on AHP and Entropy Weight Decision[J]. 2017, 34(11): 48-52. DOI：

摘要

针对现阶段语义网本体映射结果缺乏针对性

映射效率低下等问题

现提出一种基于AHP(Analytic hierarchy process)层次分析法及熵权决策的本体映射优化算法.该方法首先解析目标本体

列出本体的各个特征向量

依据相应的公式计算出特征向量的置信度.其次

给出各映射策略

依据所提出的层次分析-熵权决策组合优化算法

进行映射多策略权值计算.最终

计算出映射结果.该方法有效的减少了映射冗余

更合理的分配了多策略权值

实验结果证明了其择优性.

Abstract

Currently

there are many problems in mapping Semantic Web ontology. For example

Ontology mapping results are inaccurate or time complexity is too high. This paper presents an ontology mapping algorithm based on Firstly

we should analysis the ontology and list the feature vector. Secondly

according to the proposed AHP and entropy weight decision

we map the multi-strategy weights. Finally

the result of the mapping is calculated. The method effectively reduces redundant and improve the efficiency. Experiment result has proved the effectiveness of these proposed methods.

关键词

Keywords

references

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郭金维, 蒲绪强, 高祥, 等. 一种改进的多目标决策指标权重计算方法[J]. 西安电子科技大学学报, 2014, 41(6): 118-125. DOI: 118

赖雅, 王润梅, 徐德智. 基于参考点的大规模本体分块与映射[J]. 计算机应用研究, 2013, 30(2): 469-471. DOI: 469

Wang R, Wang L, Liu L, et al. Combination of the improved method for ontology mapping[J]. Physics Procedia, 2012, 25(22): 2167-2172. DOI: 2167

Helou M A, Palmonari M, Jarrar M. Effectiveness of automatic translations for cross-lingual ontology mapping[J]. J. Artif. Intell. Res. (JAIR), 2016, 55(1): 165-208. DOI: 165

Zhang L Y, Ren J D, Li X W. OIM-SM: A method for ontology integration based on semantic mapping[J]. Journal of Intelligent % Fuzzy Systems, 2017, 32(3): 1983-1995. DOI: 1983

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