Semantic-Distance Based Clustering for XML Keyword Search

被引：0

作者：

Yang, Weidong ^{[1
]}

Zhu, Hao ^{[1
]}

机构：

[1] Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China

来源：

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II, PROCEEDINGS | 2010年 / 6119卷

关键词：

XML; Keyword Search; Clustering; PROXIMITY SEARCH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

XML Keyword Search is a user-friendly information discovery technique, which is well-suited to schema-free XML documents. We propose a novel scheme for XML keyword search called XKLUSTER, in which a novel semantic-distance model is proposed to specify the set of nodes contained in a result. Based on tins model, we use clustering approaches to generate all meaningful results in XML keyword search. A ranking mechanism is also presented to sort the results.

引用

页码：398 / 409

页数：12

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