QueryMarvel: A visual query language for temporal patterns using comic strips

2009 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2009

Volumn , Issue , 2009, Pages 207-214

  Jin, G ^a   Szekely, Pedro ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONSHIPS; COMIC STRIPS; CURRENT SYSTEM; DECISION MAKERS; SEMANTIC ELEMENT; TEMPORAL PATTERN; USER TESTS; VISUAL QUERY; VISUAL QUERY LANGUAGES;

LINGUISTICS;

QUERY LANGUAGES;

EID: 73449100118     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VLHCC.2009.5295262     Document Type: Conference Paper

References (18)

1. The questionnaire for user interaction satisfaction. http://www.lap.umd. edu/quis/index.html.
2. J. F. Allen. Maintaining knowledge about temporal intervals. Commun. ACM, 26(11):832-843, 1983.
3. A. A. P. C. K. A. Buono, P. and B. Shneiderman. Interactive pattern search in time series. In In Proc. of Visualization and Data Analysis, pages 175-186, 2005.
4. P. Buono, C. Plaisant, A. Simeone, A. Aris, G. Shmueli, andW. Jank. Similarity-based forecasting with simultaneous previews: A river plot interface for time series forecasting. In IV '07: Proceedings of the 11th International Conference Information Visualization, pages 191-196,Washington, DC, USA, 2007. IEEE Computer Society.
5. J. Calic, D. Gibson, and N. Campbell. Efficient layout of comic-like video summaries. IEEE Trans. on Circuits and Systems for Video Technology, 17(7):931-936, July 2007.
6. L. Chittaro, C. Combi, and G. Trapasso. Data mining on temporal data: a visual approach and its clinical application to hemodialysis. J. Vis. Lang. Comput., 14(6):591-620, 2003.
7. J. Fails, A. Karlson, L. Shahamat, and B. Shneiderman. A visual interface for multivariate temporal data: Finding patterns of events across multiple histories. Symposium On Visual Analytics Science And Technology, 0:167-174, 2006.
8. H. Hochheiser. Interactive graphical querying of time series and linear sequence data sets. PhD thesis, University of Maryland, College Park, MD, USA, 2003. Director-Shneiderman,, Ben.
9. M. Kindborg and K. McGee. Comic strip programs: Beyond graphical rewrite rules. In DMS, pages 327-332, 2005.
10. D. Kurlander. Chimera: example-based graphical editing. pages 271-290, 1993.
11. Y. M. Mamoulis, N. Non-contiguous sequence pattern queries. In In Proceedings of the 9th International Conference on Extending Database Technology, 2004.
12. S. Mccloud. Understanding Comics. HarperPerennial, New York, NY, USA, 1994.
13. D. A. K. D. M. J. S. Ming C. Hao, Umeshwar Dayal. Intelligent visual analytics queries. In VAST 2007, pages 91-98, 2007.
14. E. R. S. Hibino. A visual query language for identifying temporal trends in video data. In IW-MMDBMS '95: Proceedings of the International Workshop on Multi-Media Database Management Systems, page 74, Washington, DC, USA, 1995.
15. B. Shneiderman. Dynamic queries for visual information seeking. IEEE Softw., 11(6):70-77, 1994.
16. J. J. Thomas and K. A. Cook. Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Ctr, 2005.
17. C. Traynor and M. G.Williams. End users and gis: a demonstration is worth a thousand words. pages 115-134, 2001.
18. T. D. Wang, C. Plaisant, A. J. Quinn, R. Stanchak, S. Murphy, and B. Shneiderman. Aligning temporal data by sentinel events: discovering patterns in electronic health records. In CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pages 457-466, New York, NY, USA, 2008. ACM.