01387nam a2200169 a 4500 20260901030354.0 250101s2020 xx o 000 0 eng d Georgios M. Santipantakis Towards Integrated and Open COVID-19 Data arXiv 2020 text online resource Motivated 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, an Open access — freely available to read. https://arxiv.org/pdf/2008.04045v1 Read the full paper (PDF) ERES 682 682 0 0 0 3 GEN MAIN MAIN SCICOMP 2026-09-01 0 YGE000943 2026-09-01 03:03:55 https://arxiv.org/pdf/2008.04045v1 2026-09-01 PAPER