Nazemi, Kawa ; Steiger, Martin ; Burkhardt, Dirk ; Kohlhammer, Jörn (2016)
Information Visualization and Policy Modeling.
In: Big Data: Concepts, Methodologies, Tools, and Applications
doi: 10.4018/978-1-4666-9840-6.ch008
Buchkapitel, Bibliographie
Kurzbeschreibung (Abstract)
Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the "big data" is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design will be introduced that enables the identification of information visualization need in the entire policy lifecycle. Thereafter the foundations of information visualization will be introduced based on an established reference model. We aim to amplify the incorporation of information visualization in the entire policy design process. Therefore the aspects of data and human interaction will be introduced too. The foundation leads to description of a conceptual design for social data visualization, whereas the aspect of semantics plays an important role.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Nazemi, Kawa ; Steiger, Martin ; Burkhardt, Dirk ; Kohlhammer, Jörn |
| Art des Eintrags: | Bibliographie |
| Titel: | Information Visualization and Policy Modeling |
| Sprache: | Englisch |
| Publikationsjahr: | 2016 |
| Ort: | Hershey, Pennsylvania |
| Verlag: | IGI Global |
| Buchtitel: | Big Data: Concepts, Methodologies, Tools, and Applications |
| DOI: | 10.4018/978-1-4666-9840-6.ch008 |
| Kurzbeschreibung (Abstract): | Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the "big data" is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design will be introduced that enables the identification of information visualization need in the entire policy lifecycle. Thereafter the foundations of information visualization will be introduced based on an established reference model. We aim to amplify the incorporation of information visualization in the entire policy design process. Therefore the aspects of data and human interaction will be introduced too. The foundation leads to description of a conceptual design for social data visualization, whereas the aspect of semantics plays an important role. |
| Freie Schlagworte: | Guiding Theme: Digitized Work, Research Area: Human computer interaction (HCI), Information visualization, Semantics visualization, Visual analytics, Adaptive visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 07 Mai 2019 12:33 |
| Letzte Änderung: | 07 Mai 2019 12:33 |
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