| Web内容挖掘在数字图书馆中的应用 |
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| 引用本文： | 黎琳,赵英.Web内容挖掘在数字图书馆中的应用[J].图书馆学研究,2006(2):19-21,24. |
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| 作者姓名： | 黎琳 赵英 |
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| 作者单位： | 四川大学公共管理学院 |
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| 摘 要： | Web信息是数字图书馆数字资源的重要来源，文章详细阐述了对Web内容中的文本信息的挖掘，包括：文本自动摘要、文本分类和文本聚类。在挖掘过程中基于用户需求和用户特征，针对文本分类，重点分析了分类过程和在数字图书馆中的应用；针对文本聚类，介绍两种基本聚类原理以及与文本分类的不同之处，重点论述其在数字图书馆中如何应用。最后提出内容挖掘与用户挖掘的结合更有助于服务用户。
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| 关 键 词： | 内容挖掘 数字图书馆 |
Web content mining in digital library |
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| Li Lin,Zhao Ying.Web content mining in digital library[J].Researches in Library Science,2006(2):19-21,24. |
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| Authors: | Li Lin Zhao Ying |
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| Institution: | Li Lin Zhao Ying |
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| Abstract: | Web information is an important source for digital library. This paper elaborates the data mining of text information that lies within the Web content, including automatic text abstracting, text classification and text clustering. For the purpose of text classification, this paper analyses the process of classification in digital library, based on different user requirements and characteristics in data mining. As for text clustering, two clustering principles are introduced and the differences to text classification are discussed, with emphasis on how to make them used in digital library. It is our proposal that the combination of content mining and user data mining will be more helpful to end users. |
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| Keywords: | Web |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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