个性化的多面可视化学者档案

Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, T. Kuflik
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引用次数: 2

摘要

当我们审视自己的简历时,它充满了实体——我们在哪里学习,在哪里工作,在一个项目或一篇论文中与谁合作。我们所关联的实体是我们个人资料的一部分,因此它们有助于了解我们是谁以及我们对什么感兴趣。因此,我们采用了类型化的实体关系图(profile)概念,并在此基础上提出了实体profile的个性化多面图可视化。在学术会议的背景下,我们允许学者探索相关实体的图表和代表链接的词云,为用户提供关于被探索学者的全面,紧凑和结构化的概述。我们在用户研究中评估了我们提出的个性化多面可视化,结果令人鼓舞,表明这种可视化是引人入胜的,易于使用和有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Multifaceted Visualization of Scholars Profiles
When we consider our CV, it is full of entities - where we studied, where we worked, who we collaborated with on a project or on a paper. Entities we are linked to are part of our profile and as such they help to understand who we are and what are we interested in. Hence, we adapt the typed entity-relation graph (profile) concept and based on this presentation we propose a personalized multifaceted graph visualization for the entity profile. In the context of an academic conference, we allow scholars to explore a graph of related entities and a word cloud representing the links, providing the user a comprehensive, compact and structured overview about the explored scholar. We evaluated our proposed personalized multifaceted visualization in a user study with encouraging results which showed that this visualization is engaging, easy to use and helpful.
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