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2021, Volume 22, Issue 12

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Frontiers of Information Technology & Electronic Engineering >> 2021, Volume 22, Issue 12 doi: 10.1631/FITEE.2100553

Perspectives on cross-domain visual analysis of cyber-physical-social big data

Affiliation(s): The State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310058, China; School of Computer Science and Technology, Shandong University, Jinan 250100, China; less

Received: 2021-11-29 Accepted: 2021-12-23 Available online: 2021-12-23
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Abstract

The domain of cyber-physical-social (CPS) big data is generally defined as the set consisting of all the elements in its defined domain, including domains of data, objects, tasks, application scenarios, and subjects. Visual analytics is an emerging human-in-the-loop big data analytics paradigm that can exploit human perception to enhance human cognitive efficiency. In this paper, we explore the perspectives on cross-domain visual analysis of CPS big data. We also highlight new challenges brought by the cross-domain nature of CPS big data—data, subject, and task domains—and propose a novel visual analytics model and a suite of approaches to address these challenges.

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