Ontology-based Categorization of Web Search Results Using YAGO

被引：6
|
作者：
Ren, Anjian [1 ]
Du, Xiaoyong [1 ]
Wang, Puwei [1 ]
机构：
[1] Renmin Univ China, China Sch Informat, Key Lab Data Engn & Knowledge Engn, Minist Educ, Beijing 100782, Peoples R China
来源：
INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS | 2009年
关键词：
D O I：
10.1109/CSO.2009.179
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
One of the major limitations of current search engines is that users could not quickly locate what they want if the input query is too general. Some existing techniques try to cluster web search results into groups so as to user's quick browsing. In this paper, we present a new approach to categorize the web search results by using YAGO ontology. It utilizes the YAGO ontology to automatically generate categories for the user's specific query and classify the search results into appropriate categories. Our experimental results indicate that our method is feasible and effectiveness.
引用
收藏
页码：800 / 804
页数：5
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