Discrete time specifications in temporal queries

Philipp Eichmann, Andrew Crotty, Alex Galakatos, Emanuel Zgraggen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Analysis, exploration, and visualization of time-oriented data are ubiquitous tasks in various application domains, all of which involve the execution of temporal queries. Prior research in interactively specifying the time component for such queries has been focused on defining temporal relationships in data, i.e., querying event sequences through ordinal patterns. However, there has been much less emphasis on how to specify time as a quantitative data dimension in temporal queries. Motivated by the advent of the Internet of Things (IoT), we present a formal model that can be used to represent complex time specifications. Our model is the first step in an effort to enhance temporal user interfaces that enables discrete time specifications through a visual query interface.

Original languageEnglish (US)
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Electronic)9781450346566
StatePublished - May 6 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: May 6 2017May 11 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655


Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States


  • Query interfaces
  • Query specification
  • Temporal queries
  • Visual query language

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design


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