Using Linked Statistical Data to Improve Marine Search and Rescue Operations in Ireland

被引：1

作者：

Stasiewicz, Arkadiusz ^{[1
]}

Rezk, Mohamed Adel ^{[1
]}

Ojo, Adegboyega ^{[1
]}

Tambouris, Efthimios ^{[2
,3
]}

Kalampokis, Evangelos ^{[2
,3
]}

Tarabanis, Konstantinos ^{[2
,3
]}

Alcorn, Trevor ^{[4
]}

Leadbetter, Adam ^{[4
]}

机构：

[1] Natl Univ Ireland, Insight Ctr Data Analyt, Galway, Ireland

[2] Univ Macedonia, Thessaloniki, Greece

[3] ITI CERTH, Thessaloniki, Greece

[4] Marine Inst, Oranmore, Galway, Ireland

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2018) | 2018年

基金：

欧盟地平线“2020”;

关键词：

Linked Statistical Data; Linked Open Data; Digital Public Service; Open Data; Co-creation; E-Government; OpenGovIntelligence;

D O I：

10.1145/3209415.3209511

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：412 / 418

页数：7

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