| 联邦检索研究综述 |
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| 引用本文： | 杨海锋,陆伟.联邦检索研究综述[J].图书情报工作,2015,59(1):134-143. |
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| 作者姓名： | 杨海锋 陆伟 |
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| 作者单位： | 1. 武汉大学信息管理学院 武汉 430072;
2. 江西理工大学应用科学学院 赣州 341000 |
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| 摘 要： | 目的/意义] 对联邦检索研究进行梳理,总结发展现状,明确发展方向。方法/过程] 在大量文献调研的基础上对联邦检索研究进行总结和评述。结果/结论] 联邦检索包括数据集描述、数据集选择和结果合并3个阶段,各阶段从不同研究角度提出了较多算法,但缺乏权威的测试数据集和统一的评价标准。 联邦检索理论和技术被广泛应用,但大数据环境下也为其提出了许多新的研究课题。
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| 关 键 词： | 联邦检索 数据集合描述 数据集合选择 结果合并 |
| 收稿时间： | 2014-11-25 |
| 修稿时间： | 2014-12-20 |
A Review on Federated Search |
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| Yang Haifeng;Lu Wei.A Review on Federated Search[J].Library and Information Service,2015,59(1):134-143. |
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| Authors: | Yang Haifeng;Lu Wei |
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| Institution: | 1. School of Information Management, Wuhan University, Wuhan 430072;
2. College of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000 |
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| Abstract: | Purpose/significance] The paper summarized research status, and put forward future research direction about federated search.Method/process] Based on a large number of literature research, this paper has summarized and reviewed to federated search.Result/conclusion] Research questions of federated search are mainly related to collection representation, collection selection and result merging. Some algorithms have been proposed in every aspect from different angles. But authoritative data sets and uniform evaluation criteria still relatively scarce. Although theory and technology of federated search were widely used, many new research topics have been raised in big data environment. |
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| Keywords: | federated search collection representation collection selection result merging |
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