Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/600
Title: | Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland |
Authors: | Stasiewicz, Arkadiusz Rezk, Mohamed Adel Ojo, Adegboyega Tambouris, Efthimios Kalampokis, Evangelos Tarabanis, Konstantinos Alcorn, Trevor Leadbetter, Adam |
Type: | Conference Paper |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | E-Government Digital Public Service Co-creation OpenGovIntelligence Open Data Linked Statistical Data Linked Open Data |
Issue Date: | 2018 |
Publisher: | Association for Computing Machinery |
First Page: | 412 |
Last Page: | 418 |
Volume Title: | Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV '18 |
Abstract: | Producing new generation of digital public services from open data is of major interest to policymakers, practitioners and academia in the digital government community. Recent efforts in the area of Linked Statistical Data suggest that the associated multidimensional data cubes are excellent resources that could underpin data-driven digital public services. We describe in this paper a set of tools and approach to exploiting linked statistical data produced from the integration of streams of open marine datasets for developing digital services to support Marine Rescue Operations. We also highlight the opportunities enabled through co-creation activities as well as the benefit and challenges for scaling and sustaining the initiative. |
URI: | https://doi.org/10.1145/3209415.3209511 https://ruomo.lib.uom.gr/handle/7000/600 |
ISBN: | 9781450354219 |
Other Identifiers: | 10.1145/3209415.3209511 |
Appears in Collections: | Department of Applied Informatics Department of Business Administration |
Files in This Item:
File | Description | Size | Format | |
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3209415.3209511.pdf | 935,21 kB | Adobe PDF | View/Open |
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