The InfoSky visual explorer: Exploiting Hierarchical Structure and Document Similarities

Author:

Andrews Keith1,Kienreich Wolfgang2,Sabol Vedran3,Becker Jutta3,Droschl Georg2,Kappe Frank2,Granitzer Michael3,Auer Peter1,Tochtermann Klaus3

Affiliation:

1. Graz University of Technology, Inffeldgasse 16c, A-8010 Graz, Austria;

2. Hyperwave R & D, Albrechtgasse 9, A-8010 Graz, Austria;

3. Know-Center, Inffeldgasse 16c, A-8010 Graz, Austria

Abstract

InfoSky is a system enabling users to explore large, hierarchically structured document collections. Similar to a real-world telescope, InfoSky employs a planar graphical representation with variable magnification. Documents of similar content are placed close to each other and are visualised as stars, forming clusters with distinct shapes. For greater performance, the hierarchical structure is exploited and force-directed placement is applied recursively at each level on much fewer objects, rather than on the whole corpus. Collections of documents at a particular level in the hierarchy are visualised with bounding polygons using a modified weighted Voronoi diagram. Their area is related to the number of documents contained. Textual labels are displayed dynamically during navigation, adjusting to the visualisation content. Navigation is animated and provides a seamless zooming transition between summary and detail view. Users can map metadata such as document size or age to attributes of the visualisation such as colour and luminance. Queries can be made and matching documents or collections are highlighted. Formative usability testing is ongoing; a small baseline experiment comparing the telescope browser to a tree browser is discussed.

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

Cited by 66 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 storytelling of Song Ci and the poets in the social–cultural context of Song dynasty;Visual Informatics;2021-12

2. A new subject-based retrieval and search result visualization approach for scientific digital libraries;The Electronic Library;2021-09-22

3. ExplorerTree: A Focus+Context Exploration Approach for 2D Embeddings;Big Data Research;2021-07

4. A State-of-the-Art Survey of Tasks for Tree Design and Evaluation with a Curated Task Dataset;IEEE Transactions on Visualization and Computer Graphics;2021

5. Survey of treemap layout algorithms;Proceedings of the 13th International Symposium on Visual Information Communication and Interaction;2020-12-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3