Structural-based Clustering Technique OF XML Documents

被引：0
|
作者：
Posonia, Mary A. [1 ]
Jyothi, V. L. [2 ]
机构：
[1] Sathyabama Univ India, Dept Comp Sci, Madras, Tamil Nadu, India
[2] Jeppiaar Engn Coll, Dept Comp Sci, Madras, Tamil Nadu, India
来源：
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013) | 2013年
关键词：
Document Clustering; Information retrieval; XML database;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Keyword search is an efficient technique for information retrieval and querying XML documents by the casual end users without understanding the complex syntax and semantics of the structured and semi structured data. This paper proposes a method of grouping structurally similar XML documents. A schematic description of a XML documents designed as a rooted ordered trees. Efficient cIustering algorithm based on structural and semantic measure to estimate the similar XML document trees. The structural grouping of XML documents to furnish inherent cIustering and better performance.
引用
收藏
页码：1239 / 1242
页数：4
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