Document-centric query answering for the semantic web

被引：0
|
作者：
Guo, Yuanbo [1 ]
Heflin, Jeff [1 ]
机构：
[1] Lehigh Univ, Dept Comp Sci & Engn, Bethlehem, PA 18015 USA
来源：
PROCEEDINGS OF THE IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE: WI 2007 | 2007年
关键词：
D O I：
10.1109/WI.2007.118
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose document-centric query answering, a novel form of query answering for the Semantic Web. We discuss how we have built a knowledge base system to support the new queries. In particular, we describe the key techniques used in the system in order to address scalability issues. In addition, we show encouraging experimental results.
引用
收藏
页码：409 / 415
页数：7
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