A Framework for Applying Data Integration and Curation Pipelines to Support Integration of Migrants and Refugees in Euro
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
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RWTH Aachen University, Informatik 5, Aachen, Germany {beyan,decker}@dbis.rwth-aachen.de Fakultät für Informatik und Mathematik, Universität Passau, Passau, Germany [email protected], [email protected] 3 Institute of Service Science, University of Geneva, Geneva, Switzerland [email protected]
Abstract. 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. Keywords: Data curation of semi-structured and unstructured data · Big data analytics · Technology integration · Migration and refugee crisis · Social integration · Data lakes
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Introduction
Open data initiatives and big data technologies can help EU economy to create better solutions for effective use of infrastructure such as housing and education, delivery of integration services for various domains including public health management and social cohesion, and developing a workforce to move towards a skill based economy [1, 2]. Moreover, mobile technologies and web based services can exploit the rich open data sources to create innovative products [3]. Despite of being a tremendous resource, open data, especially open government data, is yet largely untapped [9]. According to an assessment carried out by the European Data Portal team Open Data Maturity is just 44 % whereas Open Data readiness is 45 % in member states [10]. Although Open Data can help overcome certain economic constraints, developers tended benefit only small range of it, most limited with transportation and mobility.
© IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved H. Afsarmanesh et al. (Eds.): PRO-VE 2016, IFIP AICT 480, pp. 588–596, 2016. DOI: 10.1007/978-3-319-45390-3_50
A Framework for Applying Data Integration and Curation Pipelines
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The major obstacle to develop innovative knowledge services and applications by exploiting the open data is related with the lack of the data integration and curation services [4]. Today, many service and mobile app developers requires access to timely and interpretable data to address raising societal needs and challenges. Most of the times they experience difficulties to identify data sources, understand the data representation schemas and accessing requirements, interpret different formats and merge into single usable schema, moreover deal with multilingual data [5]. All these preprocessing steps does not fit the real life requirements of entrepreneurs. In most of the cases, compani
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