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https://ruomo.lib.uom.gr/handle/7000/600
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Stasiewicz, Arkadiusz | - |
dc.contributor.author | Rezk, Mohamed Adel | - |
dc.contributor.author | Ojo, Adegboyega | - |
dc.contributor.author | Tambouris, Efthimios | - |
dc.contributor.author | Kalampokis, Evangelos | - |
dc.contributor.author | Tarabanis, Konstantinos | - |
dc.contributor.author | Alcorn, Trevor | - |
dc.contributor.author | Leadbetter, Adam | - |
dc.date.accessioned | 2020-02-21T07:12:56Z | - |
dc.date.available | 2020-02-21T07:12:56Z | - |
dc.date.issued | 2018 | - |
dc.identifier | 10.1145/3209415.3209511 | en_US |
dc.identifier.isbn | 9781450354219 | en_US |
dc.identifier.uri | https://doi.org/10.1145/3209415.3209511 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/600 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Association for Computing Machinery | en_US |
dc.subject | FRASCATI::Natural sciences::Computer and information sciences | en_US |
dc.subject.other | E-Government | en_US |
dc.subject.other | Digital Public Service | en_US |
dc.subject.other | Co-creation | en_US |
dc.subject.other | OpenGovIntelligence | en_US |
dc.subject.other | Open Data | en_US |
dc.subject.other | Linked Statistical Data | en_US |
dc.subject.other | Linked Open Data | en_US |
dc.title | Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.firstpage | 412 | en_US |
local.identifier.lastpage | 418 | en_US |
local.identifier.volumetitle | Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV '18 | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής Τμήμα Οργάνωσης & Διοίκησης Επιχειρήσεων |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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3209415.3209511.pdf | 935,21 kB | Adobe PDF | Προβολή/Ανοιγμα |
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