Enabling the visualization for reasoning about temporal data

Nikolay Burlutskiy, Miltiadis Petridis, Andrew Fish, Nour Ali

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Complexity and scale of modern data is at its highest level but its temporal properties are often neglected. As a result, it is often hard for a user to make an informed decision about its time related characteristics. However, an aesthetic and efficient visualization can mitigate this drawback of data representation. For example, an informative graphical visualization based on user’s interaction with a computer interface can dramatically improve user experience with temporal data. In this paper, I propose such visualization of temporal data for reasoning. I developed a temporal model supporting different temporal entities for this data. These include timestamps, intervals, different time granularity and uncertainty of time. I proposed a multimodal visualization based on this abstract time model so a user will have the functionality to reason on temporal properties of visualized data from different points of view.
Original languageEnglish
Title of host publication2014 IEEE Symposium on Visual Languages and Human-Centric Computing
Place of PublicationMelbourne, Australia
Pages179-180
Number of pages2
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE Symposium on Visual Languages and Human-Centric Computing - Melbourne, Australia, 28 July - 1 Aug, 2014
Duration: 1 Jan 2014 → …

Conference

Conference2014 IEEE Symposium on Visual Languages and Human-Centric Computing
Period1/01/14 → …

Bibliographical note

© 2014 IEEE

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    Burlutskiy, N., Petridis, M., Fish, A., & Ali, N. (2014). Enabling the visualization for reasoning about temporal data. In 2014 IEEE Symposium on Visual Languages and Human-Centric Computing (pp. 179-180). https://doi.org/10.1109/VLHCC.2014.6883044