Authors:
Florian Haag
;
Robert Krüger
and
Thomas Ertl
Affiliation:
University of Stuttgart, Germany
Keyword(s):
Visual Query Language, Semantic Movement Analysis, Temporal Filtering, Timeline Queries.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Interactive Visual Interfaces for Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
Abstract:
Movement data can often be enriched with additional information that enables analysts to ask new questions,
for instance about POIs visited and meetings that imply interactions between persons. Information on spatio-temporal
events such as visits or meetings can be especially valuable for digital forensics, marketing analysis,
and urban planning. Most existing query languages for movement data, however, do not take that additional
information into account. We address this gap by proposing VESPa, a pattern-based graphical query language
to express, check, and refine hypotheses about spatio-temporal event sequences. Using VESPa, the analyst
can sketch abstract assumptions and use the pattern to query the data for matches. The applicability of our
approach is demonstrated in two case studies with different datasets. We also report on a small user study in
which several construction and comprehension tasks were successfully solved in an interactive implementation
of the concept.