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虚拟现实技术在关联数据中的可视化与探索。

Visualization and exploration of linked data using virtual reality.

机构信息

Department of Genetics, University of Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.

Department of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen, Groningen 9713 AV, The Netherlands.

出版信息

Database (Oxford). 2024 Feb 22;2024. doi: 10.1093/database/baae008.

Abstract

In this report, we analyse the use of virtual reality (VR) as a method to navigate and explore complex knowledge graphs. Over the past few decades, linked data technologies [Resource Description Framework (RDF) and Web Ontology Language (OWL)] have shown to be valuable to encode such graphs and many tools have emerged to interactively visualize RDF. However, as knowledge graphs get larger, most of these tools struggle with the limitations of 2D screens or 3D projections. Therefore, in this paper, we evaluate the use of VR to visually explore SPARQL Protocol and RDF Query Language (SPARQL) (construct) queries, including a series of tutorial videos that demonstrate the power of VR (see Graph2VR tutorial playlist: https://www.youtube.com/playlist?list=PLRQCsKSUyhNIdUzBNRTmE-_JmuiOEZbdH). We first review existing methods for Linked Data visualization and then report the creation of a prototype, Graph2VR. Finally, we report a first evaluation of the use of VR for exploring linked data graphs. Our results show that most participants enjoyed testing Graph2VR and found it to be a useful tool for graph exploration and data discovery. The usability study also provides valuable insights for potential future improvements to Linked Data visualization in VR.

摘要

在本报告中,我们分析了虚拟现实 (VR) 作为一种浏览和探索复杂知识图的方法。在过去的几十年中,链接数据技术 [资源描述框架 (RDF) 和 Web 本体语言 (OWL)] 已被证明对于编码此类图形非常有价值,并且已经出现了许多工具来交互式地可视化 RDF。然而,随着知识图变得越来越大,大多数这些工具都受到 2D 屏幕或 3D 投影的限制。因此,在本文中,我们评估了使用 VR 来可视化探索 SPARQL 协议和 RDF 查询语言 (SPARQL) (构造) 查询的方法,包括一系列演示 VR 强大功能的教程视频(请参见 Graph2VR 教程播放列表:https://www.youtube.com/playlist?list=PLRQCsKSUyhNIdUzBNRTmE-_JmuiOEZbdH)。我们首先回顾了现有的链接数据可视化方法,然后报告了原型 Graph2VR 的创建。最后,我们报告了首次评估使用 VR 探索链接数据图的结果。我们的结果表明,大多数参与者喜欢测试 Graph2VR,并发现它是用于图探索和数据发现的有用工具。可用性研究还为 VR 中的链接数据可视化的潜在未来改进提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5731/11184448/e7953ccb9885/baae008f1.jpg

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