| 一种基于结构信息总结树的XML文档聚类方法 |
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| 引用本文： | 梁作鹏,吴文明,董逸生. 一种基于结构信息总结树的XML文档聚类方法[J]. 应用科学学报, 2005, 23(1): 71-74 |
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| 作者姓名： | 梁作鹏 吴文明 董逸生 |
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| 作者单位： | 东南大学计算机科学与工程系, 江苏南京 210096 |
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| 摘 要： | 提出一种有效的XML文档结构信息表达方法,用数字化的结构总结树SST对XML文档的结构信息进行编码,在此基础上给出结构距离的定义,并采用遗传算法对XML文档进行聚类.实验证明该方法分类准确率高,易于实现,且不需先验的DTD知识.
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| 关 键 词： | 文档聚类 SST (结构总结树) 信息检索 遗传算法 XML |
| 文章编号： | 0255-8297(2005)01-0071-04 |
| 收稿时间： | 2003-11-01 |
| 修稿时间： | 2004-03-15 |
Clustering XML Documents Based on a Structural Summary Tree |
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| LIANG Zuo-peng,WU Wen-ming,DONG Yi-sheng. Clustering XML Documents Based on a Structural Summary Tree[J]. Journal of Applied Sciences, 2005, 23(1): 71-74 |
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| Authors: | LIANG Zuo-peng WU Wen-ming DONG Yi-sheng |
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| Affiliation: | Department of Computer Science & Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | An approach for calculating the structural similarity between XML documents is proposed in this paper. The structural information of an XML document is captured with a structural summary tree (SST). By encoding elements as digital numbers, a SST is transformed to a digit-labeled tree. Digital numbers at different tree levels are concatenated to form a vector after the normalization process. Consequently, each XML document is represented as an m-dimension vector. The GA-based clustering algorithm is adopted since it is able to provide good results irrespective of the starting configuration. Experimental results show the effectiveness and scalability of the approach. |
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| Keywords: | XML information retrieval document clustering GA SST(structure summary tree) |
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