• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information Processing & Management >Beyond information searching and browsing: acquiring knowledge from digital libraries
【24h】

Beyond information searching and browsing: acquiring knowledge from digital libraries

机译：超越信息搜索和浏览：从数字图书馆获取知识

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Digital libraries (DLs) are a resource for answering complex questions. Up to now, such systems mainly support keyword-based searching and browsing. The mapping from a research question to keywords and the assessment whether an article is relevant for a research question is completely with the user. In this paper, we present a two-layered digital library model. The aim is to enhance current DLs to support different levels of human cognitive acts, thus enabling new kinds of knowledge exchange among library users. The low layer of the model, namely, the tactical cognition support layer, provides users with requested relevant documents, as searching and browsing do. The upper layer of the model, namely, the strategic cognition support layer, not only provides users with relevant documents but also directly and intelligently answers users' cognitive questions. On the basis of the proposed model, we divide the DL information space into two subspaces, i.e., a knowledge subspace and a document subspace, where documents in the document subspace serves as the justification for the corresponding knowledge in the knowledge subspace. Detailed description of the knowledge subspace and its construction, as well as query facilities against the enhanced DLs for users' knowledge sharing and exchange, are particularly discussed. (C) 2004 Elsevier Ltd. All rights reserved.
机译：数字图书馆（DL）是回答复杂问题的资源。到目前为止，此类系统主要支持基于关键字的搜索和浏览。从研究问题到关键字的映射以及对文章是否与研究问题相关的评估完全取决于用户。在本文中，我们提出了一个两层的数字图书馆模型。目的是增强当前的数字图书馆以支持不同级别的人类认知行为，从而实现图书馆用户之间的新型知识交换。该模型的低层，即战术认知支持层，就像搜索和浏览一样，为用户提供了所需的相关文档。该模型的上层，即战略认知支持层，不仅为用户提供相关文档，还可以直接智能地回答用户的认知问题。在提出的模型的基础上，我们将DL信息空间划分为两个子空间，即知识子空间和文档子空间，其中文档子空间中的文档充当知识子空间中相应知识的依据。特别讨论了知识子空间及其构造的详细描述，以及针对用户知识共享和交换的针对增强型DL的查询工具。 （C）2004 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号