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Constructing personal digital library by multi-search and customized category

机译:通过多搜索和定制类别构建个人数字图书馆

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The current search tools for retrieving information on the WWW are not suitable for building customized information repositories because these search tools are designed for general users with the result of only an unstructured collection of documents. We present a personal digital library capable of efficiently retrieving information on the World Wide Web. We adopt several new strategies to overcome the shortcomings of current tools. The first strategy, classification, merges and organizes the retrieved documents to put them in a structural hierarchical frame. The second strategy, user profile, saves time and bandwidth for the access of the documents and permits the users to build their own customized category structure. The third strategy, multi-search, capitalizes on the power of multiple search engines to broaden the domains of information sources and alleviate the overloading of a single search engine. Furthermore we derive in detail the techniques for speeding up the iterative process of clustering.
机译:当前用于在WWW上检索信息的搜索工具不适合构建自定义的信息存储库,因为这些搜索工具是为一般用户设计的,其结果只是文档的非结构化集合。我们提供了一个个人数字图书馆,能够有效地检索万维网上的信息。我们采用了几种新策略来克服当前工具的缺点。第一种策略是分类,合并和组织检索到的文档,以将它们放入结构化的层次结构框架中。第二种策略是用户配置文件,它可以节省访问文档的时间和带宽,并允许用户建立自己的自定义类别结构。第三种策略是多重搜索,它利用多个搜索引擎的功能来扩展信息源的范围并减轻单个搜索引擎的过载。此外,我们详细推导了加快聚类迭代过程的技术。

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