01341nam a2200145 a 450000500170000000800400001710000300005724500460008726400160013333600090014933800200015852009050017850600460108385600660112920260901030354.0250101s2020    xx     o     000 0 eng d1 aGeorgios M. Santipantakis10aTowards Integrated and Open COVID-19 Data 1barXivc2020  atext  aonline resource  aMotivated by the global unrest related to the COVID-19 pandemic, we present a system prototype for ontology-based, integration of national data published from various countries. COVID-related data is published from different authorities, in different formats, at varying spatio-temporal granularity, and irregularly. Consequently, this hinders the joint data exploration and exploitation, which could lead scientists to acquire important insights, without having to deal with the cumbersome task of data acquisition and integration. Motivated by this shortcoming, we propose an approach for data acquisition, ontology-based data representation, and data transformation to RDF, which also enables interlinking with other publicly available data sources. Currently, data coming from the following European countries has been successfully integrated: Austria, Belgium, France, Germany, Greece, Italy, an0 aOpen access — freely available to read.40uhttps://arxiv.org/pdf/2008.04045v1yRead the full paper (PDF)