Exploring the Advances in Semantic Search Engines

被引:0
|
作者
Renteria-Agualimpia, Walter [1 ]
Lopez-Pellicer, Francisco J. [1 ]
Muro-Medrano, Pedro R. [1 ]
Nogueras-Iso, Javier [1 ]
Javier Zarazaga-Soria, F. [1 ]
机构
[1] Univ Zaragoza, Comp Sci & Syst Engn Dept, Zaragoza, Spain
来源
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2010年 / 79卷
关键词
Semantic Search Engines; Semantic Web; Information Retrieval;
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
With the vertiginous volume information growing, the amount of answers provided by traditional search engines and satisfying syntactically the user queries has enlarged directly. In order to reduce this problem the race to develop Semantic Search Engines (SSE) is increasingly popular. Currently, there are multiple proposals for Semantic Search Engines, and they are using a wide range of methods for matching the semantics behind user queries and the indexed collection of resources. In this work we survey the semantic search engines domain, and present a miscellaneous of perspectives about the different classification of approaches. We have created a comparative scheme and identified the prevalent research directions in SSE.
引用
收藏
页码:613 / 620
页数:8
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