On scalable information retrieval systems

被引：0
|
作者：
Frieder, O [1 ]
Grossman, D [1 ]
Chowdhury, A [1 ]
机构：
[1] IIT, Chicago, IL 60616 USA
来源：
SECOND IEEE INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/NCA.2003.1201162
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Scalable information retrieval systems are crucial to meeting the growing volumes of data. We describe work done to facilitate scalability by reducing duplication, providing integration with structured data, and supporting integration and question answering via an intranet mediator. All examples given are taken directly from prior and on-going efforts in the HT Information Retrieval Laboratory in collaboration with AOL and NCR.
引用
收藏
页码：241 / 245
页数：5
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