基于本体的改模方案聚类研究

王毅; 陈庆新; 毛宁

doi:10.13433/j.cnki.1003-8728.2015.0416

基于本体的改模方案聚类研究

doi: 10.13433/j.cnki.1003-8728.2015.0416

王毅^1,2,
陈庆新²,
毛宁²

1.
仲恺农业工程学院机电工程学院, 广州 510225;
2.
广东工业大学机电工程学院, 广州 510090

基金项目:

国家863计划CIMS项目（2007AA04Z1A8）与广东省自然科学基金项目（S2011010002245）联合资助

详细信息

作者简介:
王毅（1974-），副教授，博士，研究方向为知识挖掘，网络化制造，wangyi168_2001@163.com

计量
- 文章访问数: 149
- HTML全文浏览量: 34
- PDF下载量: 6
- 被引次数: 0
出版历程
- 收稿日期: 2013-03-15
- 刊出日期: 2015-04-05

Study on the Cluster Method of Mould-repair Project Based on the Ontology

1.
Department of Mechanic and Electronic Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225;
2.
School of Mechanical and Electronic Engineering, Guangdong University of Technology, Guangzhou 510090

摘要

摘要: 在分析改模知识的基础上，提出了一种基于本体的聚类分析法来获得典型的改模方案，建立了注塑模改模知识领域本体，确立了用矩阵方法表达改模方案数据的数学模型。通过基于改模知识领域本体之间概念相似度的计算获得改模概念间的语义相似度、用归一化公式计算改模方案间的相似度和簇间相似度，用相似度矩阵表示改模方案间的相似度，并应用凝聚的层次聚类法进行改模方案的聚类，通过改模方案聚类粒度的确定方法获得聚类结果。以企业的改模方案数据为例，验证了该方法的有效性。
- 本体 /
- 改模方案 /
- 聚类 /
- 知识发现
Abstract: With the analysis of injection mould-repair knowledge, a knowledge cluster method to get typical mould-repair project based on the ontology was presented, the domain ontology of the injection mould-repair knowledge was established, a model for the mould-repair project by using the data matrix was built. The semantic similarity between the mould-repair concepts was obtained by calculating the similarity of the mould-repair knowledge domain ontology concepts. The normalized formula was to calculate the similarities between the mould-repair projects and between the clusters. The similarity matrix was used to indicate similarity between mould-repair projects. The mould-repair project clusters were eventually merged by the agglomerative hierarchical cluster method. The cluster result was determined by the cluster granularity of mould-repair projects. The present method has been applied successfully to cluster the typical mould-repair projects by some mould-repair projects from the mould corporation.
- calculations /
- cluster /
- clustering algorithms /
- knowledge discovery

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参考文献(9)

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