Huyeng, Tim-Jonathan ; Bittner, Timo ; Rüppel, Uwe (2023)
Designing a framework for seamless integration of open data services to support disaster response.
14th European Conference on Product & Process Modelling (ECPPM 2022). Trondheim (14.-16.09.2022)
doi: 10.1201/9781003354222-64
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
With an increase to the availability of open data, the potential to leverage it for emergency response and disaster management has so far seen seldom use in Germany. While some modern technologies have found their place in existing workflows, open data and related services are rarely utilized. Due to varying standards and approaches in the federal system, public sector as well as community data sources often cannot be easily integrated. As such, an adaptable framework is proposed that outlines a way for practitioners to include these services via the OpenAPI specification without the need for programming or data science knowledge. Instead, the API documentation is parsed by an application offering various customization and configuration options during a mapping process enabling users to create their own interpretation of the data for beneficial use during disaster response efforts, resulting in a dashboard with map views and other visualizations.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Huyeng, Tim-Jonathan ; Bittner, Timo ; Rüppel, Uwe |
| Art des Eintrags: | Bibliographie |
| Titel: | Designing a framework for seamless integration of open data services to support disaster response |
| Sprache: | Englisch |
| Publikationsjahr: | März 2023 |
| Ort: | London |
| Verlag: | CRC Press |
| Buchtitel: | ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022 |
| Veranstaltungstitel: | 14th European Conference on Product & Process Modelling (ECPPM 2022) |
| Veranstaltungsort: | Trondheim |
| Veranstaltungsdatum: | 14.-16.09.2022 |
| Auflage: | First |
| DOI: | 10.1201/9781003354222-64 |
| URL / URN: | https://www.taylorfrancis.com/books/9781003354222/chapters/1... |
| Kurzbeschreibung (Abstract): | With an increase to the availability of open data, the potential to leverage it for emergency response and disaster management has so far seen seldom use in Germany. While some modern technologies have found their place in existing workflows, open data and related services are rarely utilized. Due to varying standards and approaches in the federal system, public sector as well as community data sources often cannot be easily integrated. As such, an adaptable framework is proposed that outlines a way for practitioners to include these services via the OpenAPI specification without the need for programming or data science knowledge. Instead, the API documentation is parsed by an application offering various customization and configuration options during a mapping process enabling users to create their own interpretation of the data for beneficial use during disaster response efforts, resulting in a dashboard with map views and other visualizations. |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen |
| Hinterlegungsdatum: | 16 Mär 2023 08:05 |
| Letzte Änderung: | 03 Nov 2023 10:39 |
| PPN: | 506071987 |
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