A Framework for Applying Data Integration and Curation Pipelines to Support Integration of Migrants and Refugees in Europe

被引：3
|
作者：
Beyan, Oya Deniz [1 ]
Handschuh, Siegfried [2 ]
Koumpis, Adamantios [2 ]
Fragidis, Garyfallos [3 ]
Decker, Stefan [1 ]
机构：
[1] Rhein Westfal TH Aachen, Informat 5, Aachen, Germany
[2] Univ Passau, Fak Informat & Math, Passau, Germany
[3] Univ Geneva, Inst Serv Sci, Geneva, Switzerland
来源：
COLLABORATION IN A HYPERCONNECTED WORLD | 2016年 / 480卷
关键词：
Data curation of semi-structured and unstructured data; Big data analytics; Technology integration; Migration and refugee crisis; Social integration; Data lakes;
D O I：
10.1007/978-3-319-45390-3_50
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We investigate the benefit of data integration and curation services for the current refugee crisis and proposed an architecture to support development of innovative solutions. We focus on developing a multi- /cross-lingual semantic data curation pipeline enriched with natural language processing capabilities in order to (a) improve decision making capabilities of public authorities with data driven dashboards; (b) stimulate the development of innovative application and services supporting integration of refugees; and (c) improve the use of open data for tackling the societal challenges.
引用
收藏
页码：588 / 596
页数：9
相关论文
共 50 条
12345