On scalable information retrieval systems

O. Frieder, D. Grossman, Abdur Chowdhury
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引用次数: 5

Abstract

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 IIT Information Retrieval Laboratory in collaboration with AOL and NCR.
关于可扩展的信息检索系统
可扩展的信息检索系统对于满足不断增长的数据量至关重要。我们描述了通过减少重复、提供与结构化数据的集成以及通过内部网中介支持集成和问答来促进可伸缩性所做的工作。给出的所有示例都直接取自IIT信息检索实验室与AOL和NCR合作进行的先前和正在进行的工作。
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