以语义为中心的信息可视化方法

Chaomei Chen, L. Carr
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引用次数: 11

摘要

本文描述了一种以语义为中心的信息可视化方法。与传统的以文档为中心的方法相比,以语义为中心的方法侧重于超越单个文档边界的信息空间中的内在连通性。该方法旨在通过文献可视化科学界所感知的深刻的相互关系。通过对过去十年ACM超文本会议论文集的作者共引分析,演示了这种方法的应用。超文本领域的子领域或专业是基于作者共引模式的因子分析结果进行可视化的。作者共被引年度地图的九个快照介绍了在当代文学塑造的信息空间中发现知识的新途径。
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A semantic-centric approach to information visualization
A semantic-centric approach to information visualization is described in this paper. In contrast to the conventional document-centric approaches, the semantic-centric approach focuses on the intrinsic connectivity in an information space beyond the boundary of individual documents. The approach aims to visualize the profound interrelationships perceived by the scientific community through the literature. An application of this approach is demonstrated through an author co-citation analysis of the entire collection of the ACM Hypertext conference proceedings over the last decade. Sub-fields, or specialties, in the field of hypertext are visualized based on the results of a factor analysis of author co-citation patterns. Nine snapshots of annual author co-citation maps introduce a new way of knowledge discovering in an information space shaped by the contemporary literature.
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