License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2022.2
URN: urn:nbn:de:0030-drops-172490
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17249/
Go to the corresponding LIPIcs Volume Portal

Miksch, Silvia

Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities (Invited Talk)

pdf-format:
LIPIcs-TIME-2022-2.pdf (0.4 MB)

Abstract

Visual Analytics as the science of analytical reasoning facilitated by interactive visual interfaces aims to enable the exploration and the understanding of large, heterogeneous, and complex data sets.
Time is an important data dimension with distinct characteristics.
Intertwining Visual Analytics with time and temporal reasoning introduces outstanding challenges and opportunities, which I will illustrate in this talk.

BibTeX - Entry

@InProceedings{miksch:LIPIcs.TIME.2022.2,
  author =	{Miksch, Silvia},
  title =	{{Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities}},
  booktitle =	{29th International Symposium on Temporal Representation and Reasoning (TIME 2022)},
  pages =	{2:1--2:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-262-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{247},
  editor =	{Artikis, Alexander and Posenato, Roberto and Tonetta, Stefano},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17249},
  URN =		{urn:nbn:de:0030-drops-172490},
  doi =		{10.4230/LIPIcs.TIME.2022.2},
  annote =	{Keywords: Visual Analytics, Visualization, Time}
}

Keywords: Visual Analytics, Visualization, Time
Collection: 29th International Symposium on Temporal Representation and Reasoning (TIME 2022)
Issue Date: 2022
Date of publication: 29.10.2022

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI