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A semantic-centric approach to information visualization

机译:以语义为中心的信息可视化方法

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摘要

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.
机译:本文描述了一种以语义信息可视化的语义方法。与传统的文档为中心的方法相比,语义为中心的方法侧重于信息空间中的内在连接,超出各个文档的边界。该方法旨在通过文献来可视化科学界所感知的深刻相互关系。通过对过去十年的ACM超文本会议课程的整个集合的作者共同分析,证明了这种方法的应用。超文本领域的子字段或专业基于作者共同引文模式的因子分析的结果来可视化。年度作者共同引用地图的九个快照介绍了一种新的知识方式,发现了当代文学的信息空间。

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