Hyponymy Extraction and Web Search Behavior Analysis Based on Query Reformulation

被引：0
|
作者：
Costa, Rui P. [1 ]
Seco, Nuno [1 ]
机构：
[1] Univ Coimbra, CISUC, Cognit & Media Syst Grp, P-3000 Coimbra, Portugal
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2008, PROCEEDINGS | 2008年 / 5290卷
关键词：
Semantic Web Usage Mining; Query Reformulation; Hyponymy Extraction; Web User Search Behavior;
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：
A web search engine log is a very rich source of semantic knowledge. In this paper we focus on the extraction of hyponymy relations from individual user sessions by examining, search behavior. The results obtained allow us to identify specific reformulation models as ones that more frequently represent hyponymy relations. The extracted relations reflect the knowledge that the user is employing while searching the web. Simultaneously, this study leads to a better understanding of web user search behavior.
引用
收藏
页码：332 / 341
页数：10
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