关联图的可视化以协助分类的解释
Visualization of association graphs for assisting the interpretation of classifications
摘要：
给定一个查询的PASCAL数据库维护的INIST，我们设计的用户界面，可视化和浏览两种类型的图形提取的摘要：1）作者之间的所有关联的图形（合著者图），2）作者和术语之间的强关联的图形自动提取的摘要和分组使用语言的变化。为此，我们采用了TermWatch系统，该系统包括术语提取器、产生术语网络的关系标识符和聚类模块。结果输出两个接口：图形映射的集群在一个二维空间和一个术语的超文本网络，允许用户交互式地探索结果，并返回到源文本。
英文摘要：
Given a query on the PASCAL database maintained by the INIST, we design user interfaces to visualize and browse two types of graphs extracted from abstracts: 1) the graph of all associations between authors (co-author graph), 2) the graph of strong associations between authors and terms automatically extracted from abstracts and grouped using linguistic variations. We adapt for this purpose the TermWatch system that comprises a term extractor, a relation identifier which yields the terminological network and a clustering module. The results are output on two interfaces: a graphic one mapping the clusters in a 2D space and a terminological hypertext network allowing the user to interactively explore results and return to source texts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
