[1]江荔,薛醒思.一种新的自动化本体映射技术[J].福建工程学院学报,2015,13(01):49-53.[doi:10.3969/j.issn.1672-4348.2015.01.009]
　Jiang Li,Xue Xingsi.A novel automatic ontology aligning technology[J].Journal of FuJian University of Technology,2015,13(01):49-53.[doi:10.3969/j.issn.1672-4348.2015.01.009]
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一种新的自动化本体映射技术()
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福建工程学院学报[ISSN:2097-3853/CN:35-1351/Z]

卷:
第13卷
期数:
2015年01期
页码:
49-53
栏目:
出版日期:
2015-02-25

文章信息/Info

Title:
A novel automatic ontology aligning technology
作者:
江荔; 薛醒思
福州职业技术学院计算机系
Author(s):
Jiang Li; Xue Xingsi
Computer Department, Fuzhou Polytechnic
关键词:
本体映射技术;  调谐值度量;  单纯降序提取算法
Keywords:
ontology aligning technology;  tuning measure;  naive descending extraction algorithm
分类号:
TP182
DOI:
10.3969/j.issn.1672-4348.2015.01.009
文献标志码:
A
摘要:
为了更好地组合不同的相似度度量结果以提高本体映射结果的质量，提出一种新的基于调谐值度量和单纯降序提取算法的自动化本体映射技术。该技术首先通过调谐值来度量各种相似度矩阵的可靠性，并为每一个相似度矩阵赋予权重以集成不同的相似度矩阵，然后通过单纯降序提取算法结合阈值的策略提取最终的本体映射结果。实验采用2012年本体映射评价竞赛的测试数据集，同2012年本体映射评价竞赛的参与者的比较表明该文提出的方法是有效的。
Abstract:
To improve the quality of ontology alignment through better aggregating the alignments obtained by various similarity measures, a novel automatic ontology aligning technology based on the tuning measure and naive descending extraction algorithm was proposed. Firstly, the tuning value was utilized to measure the reliability of each similarity matrix, and each similarity matrix was given a weight to aggregate them. Then both naive descending extraction algorithm and threshold strategy were used to extract the final ontology alignment. The testing cases from the ontology alignment evaluation initiative in 2012 were adopted as the data group. The comparison with the participants’ algorithm of ontology alignment evaluation initiative in 2012 shows the effectiveness of the proposal.

参考文献/References:

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更新日期/Last Update: 2015-02-25