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dc.contributor.authorAckermann, Philipp-
dc.contributor.authorStockinger, Kurt-
dc.date.accessioned2019-07-31T13:07:59Z-
dc.date.available2019-07-31T13:07:59Z-
dc.date.issued2019-
dc.identifier.isbn978-3-030-11820-4de_CH
dc.identifier.isbn978-3-030-11821-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17804-
dc.description.abstractSeveral governments around the globe have recently released significant amounts of open data to the public. The main motivation is that citizens or companies use these datasets and develop new data products and applications by either enriching their existing data stores or by smartly combining datasets from various open data portals. In this chapter, we first describe the development of open data over the last few years and briefly introduce the open data portals of the USA, the EU, and Switzerland. Next we will explain various methods for information visualization. Finally, we describe how we combined methods from open data and information visualization. In particular, we show how we developed visualization applications on top of the Swiss open data portal that enable web-based, interactive information visualization as well as a novel paradigm—narrative visualization.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofApplied data science : lessons learned for the data-driven businessde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectOpen datade_CH
dc.subjectVisualizationde_CH
dc.subjectData modelingde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleNarrative visualization of open datade_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-11821-1_14de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end264de_CH
zhaw.pages.start251de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedHuman Information Interactionde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.author.additionalNode_CH
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Ackermann, P., & Stockinger, K. (2019). Narrative visualization of open data. In Applied data science : lessons learned for the data-driven business (pp. 251–264). Springer. https://doi.org/10.1007/978-3-030-11821-1_14
Ackermann, P. and Stockinger, K. (2019) ‘Narrative visualization of open data’, in Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 251–264. Available at: https://doi.org/10.1007/978-3-030-11821-1_14.
P. Ackermann and K. Stockinger, “Narrative visualization of open data,” in Applied data science : lessons learned for the data-driven business, Cham: Springer, 2019, pp. 251–264. doi: 10.1007/978-3-030-11821-1_14.
ACKERMANN, Philipp und Kurt STOCKINGER, 2019. Narrative visualization of open data. In: Applied data science : lessons learned for the data-driven business. Cham: Springer. S. 251–264. ISBN 978-3-030-11820-4
Ackermann, Philipp, and Kurt Stockinger. 2019. “Narrative Visualization of Open Data.” In Applied Data Science : Lessons Learned for the Data-Driven Business, 251–64. Cham: Springer. https://doi.org/10.1007/978-3-030-11821-1_14.
Ackermann, Philipp, and Kurt Stockinger. “Narrative Visualization of Open Data.” Applied Data Science : Lessons Learned for the Data-Driven Business, Springer, 2019, pp. 251–64, https://doi.org/10.1007/978-3-030-11821-1_14.


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