Visual querying of semantically enriched movement data

Florian Haag; Robert Krüger; Thomas Ertl

doi:10.1007/978-3-319-64870-5_12

Visual querying of semantically enriched movement data

Florian Haag, Robert Krüger, Thomas Ertl

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Visual data exploration is used to reveal unknown patterns that, however, need to be validated, refined, and extracted for a final presentation and reporting. We contribute VESPa, a pattern-based visual query language for event sequences. With VESPa, analysts can formulate hypotheses gained and query the data for matches. In an interative analysis loop the pattern can be altered with further restrictions to narrow down the result set. Our language allows for (1) hypothesis expression and refinement, (2) visual querying, and (3) knowledge externalization. We focus on semantically enrichend movement data, used in law enforcement, consumer, and traffic analysis. To evaluate the applicability we present two case studies as well as a user study consisting of comprehensive and composition tasks.

Original language	English (US)
Title of host publication	Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers
Editors	Alexandru Telea, Paul Richard, Lars Linsen, Jose Braz, Sebastiano Battiato, Nadia Magnenat-Thalmann, Francisco Imai
Publisher	Springer Verlag
Pages	242-263
Number of pages	22
ISBN (Print)	9783319648699
DOIs	https://doi.org/10.1007/978-3-319-64870-5_12
State	Published - 2017
Event	11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016 - Rome, Italy Duration: Feb 27 2016 → Feb 29 2016

Publication series

Name	Communications in Computer and Information Science
Volume	693
ISSN (Print)	1865-0929

Conference

Conference	11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016
Country/Territory	Italy
City	Rome
Period	2/27/16 → 2/29/16

Keywords

Semantic movement analysis
Visual query language

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-64870-5_12

Cite this

Haag, F., Krüger, R., & Ertl, T. (2017). Visual querying of semantically enriched movement data. In A. Telea, P. Richard, L. Linsen, J. Braz, S. Battiato, N. Magnenat-Thalmann, & F. Imai (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers (pp. 242-263). (Communications in Computer and Information Science; Vol. 693). Springer Verlag. https://doi.org/10.1007/978-3-319-64870-5_12

Visual querying of semantically enriched movement data. / Haag, Florian; Krüger, Robert; Ertl, Thomas.
Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. ed. / Alexandru Telea; Paul Richard; Lars Linsen; Jose Braz; Sebastiano Battiato; Nadia Magnenat-Thalmann; Francisco Imai. Springer Verlag, 2017. p. 242-263 (Communications in Computer and Information Science; Vol. 693).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Haag, F, Krüger, R & Ertl, T 2017, Visual querying of semantically enriched movement data. in A Telea, P Richard, L Linsen, J Braz, S Battiato, N Magnenat-Thalmann & F Imai (eds), Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. Communications in Computer and Information Science, vol. 693, Springer Verlag, pp. 242-263, 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2016, Rome, Italy, 2/27/16. https://doi.org/10.1007/978-3-319-64870-5_12

Haag F, Krüger R, Ertl T. Visual querying of semantically enriched movement data. In Telea A, Richard P, Linsen L, Braz J, Battiato S, Magnenat-Thalmann N, Imai F, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. Springer Verlag. 2017. p. 242-263. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-64870-5_12

Haag, Florian ; Krüger, Robert ; Ertl, Thomas. / Visual querying of semantically enriched movement data. Computer Vision, Imaging and Computer Graphics Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016, Revised Selected Papers. editor / Alexandru Telea ; Paul Richard ; Lars Linsen ; Jose Braz ; Sebastiano Battiato ; Nadia Magnenat-Thalmann ; Francisco Imai. Springer Verlag, 2017. pp. 242-263 (Communications in Computer and Information Science).

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abstract = "Visual data exploration is used to reveal unknown patterns that, however, need to be validated, refined, and extracted for a final presentation and reporting. We contribute VESPa, a pattern-based visual query language for event sequences. With VESPa, analysts can formulate hypotheses gained and query the data for matches. In an interative analysis loop the pattern can be altered with further restrictions to narrow down the result set. Our language allows for (1) hypothesis expression and refinement, (2) visual querying, and (3) knowledge externalization. We focus on semantically enrichend movement data, used in law enforcement, consumer, and traffic analysis. To evaluate the applicability we present two case studies as well as a user study consisting of comprehensive and composition tasks.",

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Visual querying of semantically enriched movement data

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this