[1]王文霞. 基于分级策略和聚类索引树的构件检索方法[J].计算机技术与发展,2016,26(04):110-113.
　WANG Wen-xia. A Component Retrieval Method Based on Classified Policy and Cluster Index Tree[J].,2016,26(04):110-113.
点击复制

 基于分级策略和聚类索引树的构件检索方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年04期
页码:
110-113
栏目:
应用开发研究
出版日期:
2016-04-10

文章信息/Info

Title:
 A Component Retrieval Method Based on Classified Policy and Cluster Index Tree
文章编号:
1673-629X（2016)04-0110-04
作者:
 王文霞
 运城学院 计算机科学与技术系
Author(s):
 WANG Wen-xia
关键词:
 ; 刻面分类; 聚类分析; 语义分析; 索引树; 分级策略
Keywords:
 ; faceted classification; cluster analysis; semantic analysis; index tree; classified policy
分类号:
TP311
文献标志码:
A
摘要:
 基于刻面的构件表示法，其术语空间需要人工建立和维护，具有较强的人为主观性。针对此问题，文中采用刻面分类与全文检索相结合的构件表示方法，提出了一种基于分级策略和聚类索引树的构件检索方法。该方法采用基于语义相似度与优化的构件聚类算法构建构件聚类索引树，并为每个刻面引入合理的权重因子。在真实构件库上的实验结果表明：基于分级策略和聚类索引树的构件检索方法是有效的，相比没有引入分级策略的构件检索方法具有较高的构件查全率和查准率。
Abstract:
 In the component representation method based on faceted classification,the term-space needs human to build and maintain so as to have strong subjectivity. Therefore,a component representation method combined faceted classification with full-text retrieval has been adopted in this paper. Meanwhile,a component retrieval method based on classified policy and cluster index tree has been proposed. In this method,the component cluster index tree is built by use of a component clustering algorithm based on semantic similarity and opti-mization,and the reasonable weight factors are introduced for each facet. On the foundation of the real component library,the experiment shows that by the comparison of the component retrieval method without weigh factors, the component retrieval method proposed has higher precision ratio and recall ratio,and to some extent,achieves component semantic retrieval.

相似文献/References:

[1]杨森 曹宝香.基于J2EE和XML的构件库系统的设计[J].计算机技术与发展,2009,(08):100.
　YANG Sen,CAO Bao-xiang.Design of Component Library System Based on J2EE and XML[J].,2009,(04):100.
[2]曹曼曼 曹宝香.J2EE平台下的PLM构件库系统的设计与实现[J].计算机技术与发展,2008,(05):248.
　CAO Man-man,CAO Bao-xiang.Design and Realization of PLM Component Library System Based on J2EE Platform[J].,2008,(04):248.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(04):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(04):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(04):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(04):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(04):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(04):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(04):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(04):38.

更新日期/Last Update: 2016-06-16