Affiliation:
1. DFKI Projektbuero, Alt-Moabit 91c, Berlin 10559, Germany.
Abstract
In this article, I present a novel relational visualization that supports people at exploration of scientific literature in digital libraries. This visualization provides an integrated view of multiple dimensions concealed in the scientific literature. It displays, for example, authors and scientific organizations together with freely defined search queries and highlights the intersections between them. The proposed visual representation introduces interactive drag-and-drop operations for manipulation of queries in order to retrieve further results. These operations enable information seekers to employ efficient online search strategies that involve Boolean AND, OR and NOT operators. In doing so, an information seeker can refine (or relax) various search queries in an interactive way during a focusing or a defocusing phase. The intersections of queries are made explicitly visible to enable the information seeker to build an individual picture of the research area under investigation and to avoid frustrating ‘zero hit’ situations.
Subject
Computer Vision and Pattern Recognition
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Visual Querying of Semantically Enriched Movement Data;Communications in Computer and Information Science;2017
2. MCquery;Proceedings of the Australasian Computer Science Week Multiconference;2016-02
3. Interface design and evaluation;Discover Digital Libraries;2016
4. INVISQUE as a Tool for Intelligence Analysis: The Construction of Explanatory Narratives;International Journal of Human-Computer Interaction;2014-06-18
5. An interaction model between human and system for intuitive graphical search interface;Knowledge and Information Systems;2013-01-10