Redgraph: Navigating Semantic Web Networks using Virtual Reality

H. Halpin, David J. Zielinski, R. Brady, Glenda Kelly
{"title":"Redgraph: Navigating Semantic Web Networks using Virtual Reality","authors":"H. Halpin, David J. Zielinski, R. Brady, Glenda Kelly","doi":"10.1109/VR.2008.4480789","DOIUrl":null,"url":null,"abstract":"We present Redgraph, a generic virtual reality (VR) visualization program for network data, based on resource description framework (RDF), the primary standard of data underlying the semantic Web. Redgraph bypasses a number of problems in 3D graph visualization by relying on users to interactively \"extrude\" a 2D network into the third dimension. This pilot study applies Redgraph to data from the U.S. Patent and Trademark Office to explore innovations in the history of computer science. Comparison of subjects' response times utilizing 3D pull-out vs. 2D strategies on tasks involving fine grained connectivity or broad network observation found that subjects were faster correctly answering questions involving fine-grained connectivity using 3D strategies, particularly when data was densely clustered. Subjects' qualitative feedback suggests that the most valuable application of this 3D technique lies in untimed exploration to discover relationships in the underlying data structure.","PeriodicalId":173744,"journal":{"name":"2008 IEEE Virtual Reality Conference","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Virtual Reality Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VR.2008.4480789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

We present Redgraph, a generic virtual reality (VR) visualization program for network data, based on resource description framework (RDF), the primary standard of data underlying the semantic Web. Redgraph bypasses a number of problems in 3D graph visualization by relying on users to interactively "extrude" a 2D network into the third dimension. This pilot study applies Redgraph to data from the U.S. Patent and Trademark Office to explore innovations in the history of computer science. Comparison of subjects' response times utilizing 3D pull-out vs. 2D strategies on tasks involving fine grained connectivity or broad network observation found that subjects were faster correctly answering questions involving fine-grained connectivity using 3D strategies, particularly when data was densely clustered. Subjects' qualitative feedback suggests that the most valuable application of this 3D technique lies in untimed exploration to discover relationships in the underlying data structure.
Redgraph:使用虚拟现实导航语义Web网络
我们提出了一个基于资源描述框架(RDF)的网络数据通用虚拟现实(VR)可视化程序Redgraph,该框架是语义Web底层数据的主要标准。Redgraph绕过了3D图形可视化中的许多问题,依靠用户交互式地将2D网络“挤出”到第三维。这项试点研究将Redgraph应用于美国专利和商标局的数据,以探索计算机科学史上的创新。在涉及细粒度连接或广泛网络观察的任务中,使用3D拉出与2D策略的受试者响应时间的比较发现,使用3D策略的受试者更快地正确回答涉及细粒度连接的问题,特别是当数据密集聚集时。受试者的定性反馈表明,这种3D技术最有价值的应用在于不定时地探索发现底层数据结构中的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信