基于知识图式建模的视觉信息搜索

Seulki Lee, A. Shah, W. Yoon
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引用次数: 1

摘要

本文提出了一种基于用户知识图式可视化的交互式系统,以辅助信息检索和知识发现过程。该系统受人类记忆模型的启发,从用户现有的信息(如文件夹结构和相关标签)构建用户概念知识结构的外部表示。与现有的基于用户模型的系统相比,该系统允许用户通过选择其知识模式的一部分来指定其信息需求,在其现有知识组织的上下文中理解其搜索结果,并基于其知识模式存储新的信息。通过初步评估,我们发现即使使用基本的文本处理模型,提取的知识结构的可视化和新信息的相关性也被认为是有用的。参与者能够有效地搜索相关信息,并在一致的情况下扩大信息收集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual information search based on knowledge schema modeling
This paper suggests a new interactive system based on visualization of the user's knowledge schema to aid the process of information search and knowledge discovery. The system, inspired from the human memory model, constructs an external representation of the user's conceptual knowledge structure from the user's existing information such as the folder structure and associated tags. In contrast to existing systems based on user models, the system allows users to specify their information needs by selecting a part of their knowledge schema, understand their search results in the context of their existing knowledge organization, and store new information based on their knowledge schema. Through a preliminary evaluation, we show that the visualization of the extracted knowledge structure and the presented relevance of new information was perceived to be useful, even with a basic model of text processing. The participants were able to search for relevant information effectively and expand their information collection with consistency.
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