Please use this identifier to cite or link to this item:
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
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.
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 SizeFormat 
3209415.3209511.pdf935,21 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.