000			01387nam a2200169 a 4500
005			20260901030354.0
008			250101s2020 xx o 000 0 eng d
100	1		_aGeorgios M. Santipantakis
245	1	0	_aTowards Integrated and Open COVID-19 Data
264		1	_barXiv _c2020
336			_atext
338			_aonline resource
520			_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, an
506	0		_aOpen access — freely available to read.
856	4	0	_uhttps://arxiv.org/pdf/2008.04045v1 _yRead the full paper (PDF)
942			_cERES
999			_c682 _d682