A Survey on Data-driven Decision Support Systems Using
Effective Narrative Pattern

D 2016

A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern

KOMENDA, Martin and Matěj KAROLYI

Basic information

Original name

A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern

Authors

KOMENDA, Martin and Matěj KAROLYI

Edition

Toulouse, France, Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), p. 819-826, 489 pp. 2016

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

France

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

URL

Organization unit

Faculty of Medicine

ISBN

978-88-903574-5-9

Keywords in English

data-driven approach, narrative pattern, martini glass structure, visualization

Abstract

V originále

Nowadays information technology assists with decision making in various fields of human activities. This paper focuses on a survey of decision support portals and systems that provide any data visualization form and reporting in the environmental research field. Generally, data outputs in environmental research are too large, and it might be difficult for the general public to be well oriented when exploring shown data sets. Therefore, it would be appropriate to guide readers, or to point out the fundamental features of the presentation. One of the effective techniques to lead the reader is data visualization storytelling. It expands exploratory data analysis by an explanatory part, which provides a space for a really strong impact by the author. We discuss the real benefits of design strategies for narrative visualization in relation to information systems supporting the decision-making process. A deep survey presents here a global summary on particular decision support systems in terms of using data-driven document approach together with various forms of narrative patterns.

Cite

KOMENDA, Martin and Matěj KAROLYI. A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern. Online. In Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs). Toulouse, France, 2016, p. 819-826, 489 pp. ISBN 978-88-903574-5-9.

@inproceedings{1350407,
   author = {Komenda, Martin and Karolyi, Matěj},
   address = {Toulouse, France},
   booktitle = {Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs)},
   editor = {Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E.},
   keywords = {data-driven approach, narrative pattern, martini glass structure, visualization},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Toulouse, France},
   isbn = {978-88-903574-5-9},
   pages = {819-826},
   title = {A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern},
   url = {http://www.iemss.org/sites/iemss2016/},
   year = {2016}
}

TY  - CONF
ID  - 1350407
AU  - Komenda, Martin - Karolyi, Matěj
PY  - 2016
TI  - A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern
CY  - Toulouse, France
SN  - 9788890357459
KW  - data-driven approach, narrative pattern, martini glass structure, visualization
UR  - http://www.iemss.org/sites/iemss2016/
N2  - Nowadays information technology assists with decision making in various fields of human activities. This paper focuses on a survey of decision support portals and systems that provide any data visualization form and reporting in the environmental research field. Generally, data outputs in environmental research are too large, and it might be difficult for the general public to be well oriented when exploring shown data sets. Therefore, it would be appropriate to guide readers, or to point out the fundamental features of the presentation. One of the effective techniques to lead the reader is data visualization storytelling. It expands exploratory data analysis by an explanatory part, which provides a space for a really strong impact by the author. We discuss the real benefits of design strategies for narrative visualization in relation to information systems supporting the decision-making process. A deep survey presents here a global summary on particular decision support systems in terms of using data-driven document approach together with various forms of narrative patterns.
ER  -

KOMENDA, Martin and Matěj KAROLYI. A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern. Online. In Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. \textit{Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs)}. Toulouse, France, 2016, p.~819-826, 489 pp. ISBN~978-88-903574-5-9.

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