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ROC: An ontology for country responses towards COVID-19

: Al Qundus, Jamal; Schäfermeier, Ralph; Karam, Naouel; Peikert, Silvio; Paschke, Adrian

Fulltext urn:nbn:de:0011-n-6338186 (593 KByte PDF)
MD5 Fingerprint: e115276804c32e5f6ddc7a9b3534f3e3
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Created on: 15.4.2021

Paschke, Adrian (Ed.); Rehm, Georg (Ed.); Al Qundus, Jamal (Ed.); Neudecker, Clemens (Ed.); Pintscher, Lydia (Ed.) ; Fraunhofer-Institut für Offene Kommunikationssysteme -FOKUS-, Berlin:
Qurator 2021, Conference on Digital Curation Technologies. Online resource : Proceedings of the Conference on Digital Curation Technologies (Qurator 2021); Berlin, Germany, February 8th to 12th, 2021
Berlin: CEUR, 2021 (CEUR Workshop Proceedings 2836)
URN: urn:nbn:de:0074-2836-1
Paper 13, 10 pp.
Conference on Digital Curation Technologies (Qurator) <2, 2021, Online>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Conference Paper, Electronic Publication
Fraunhofer FOKUS ()
Ontology Engineering; semantic web technology; Covid-19 ontology; novel coronavirus ontology; Covid-19 responses; pandemic country responses

The ROC ontology for country responses to COVID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic. It follows semantic standardization (W3C standards RDF, OWL, SPARQL) for the representation of concepts and creation of vocabularies. ROC focuses on country measures and enables the integration of data from heterogeneous data sources. The proposed ontology is intended to facilitate statistical analysis to study and evaluate the effectiveness and side effects of government responses to COVID-19 indifferent countries. The ontology contains data collected by OxCGRT from publicly available information. This data has been compiled from information provided by ECDC for most countries, as well as from various repositories used to collect data on COVID-19.