ELCEA: An Entity-based Semantics towards Effective XML Keyword Search

被引：0
|
作者：
Ji, Qingling [1 ]
Zhou, Junfeng [1 ]
Guo, Jingfeng [1 ]
机构：
[1] Yanshan Univ, Sch Informat Sci & Engn, Qinhuangdao 066004, Peoples R China
来源：
2010 2ND INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS PROCEEDINGS (DBTA) | 2010年
关键词：
XML; keyword search; NOT; ELCEA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Keyword search is a user-friendly way to query XML data, such that users do not need to understand the complex syntax of structured query languages and the complex structural information of the underlying XML data. However, existing semantics suffer from limited expressiveness, thus users cannot obtain desired information in many cases. We propose an entity-based semantics, namely ELCEA, to capture users' search intension by supporting additionally the semantics of "NOT". We verified the effectiveness of ELCEA by conducting rich experiment according to different metrics.
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页数：4
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