Coronis: Towards integrated and open COVID-19 data

Santipantakis, G. M.; Vouros, G. A.; Doulkeridis, C.

Motivated by the global unrest related to the COVID-19 pandemic, this demo paper presents a system for acquisition of COVID-related data from different, public sources, and interlinking under a common semantic data model at a fine level of granularity. The integrated data set contains data from several European countries, which come in different schemata, formats, granularity, and data integration acts as a facilitator towards querying data from different sources, joint data analysis, and identifying correlations at varying geographical level. Moreover, our work shows how such an integrated data set can be exploited to answer complex questions for the pandemic, also in combination with other data sets via federated queries. © 2021 Copyright held by the owner/author(s).