CODO: an Ontology for collection and analysis of COviD-19 data

Release: 2020-04-27

Modified on: 2023-03-31

This version:

https://w3id.org/codo/1.5

Latest version:

https://w3id.org/codo

Previous version:

https://w3id.org/codo/1.4

Authors:

Biswanath Dutta, (Indian Statistical Institute)

Debanjali Bain, (Indian Statistical Institute)

Publisher:

Indian Statistical Institute

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Publications:

1. Dutta, B. and DeBellis, M. (2020). CODO: an ontology for collection and analysis of COVID-19 data. In Proc. of 12th Int. Conf. on Knowledge Engineering and Ontology Development (KEOD), Lisboa, Portugal, 2-4 November 2020, vol. 2, pp. 76-85 (ISBN 978-989-758-474-9, ISSN 2184-3228) (DOI: https://doi.org/10.5220/0010112500760085).

2. DeBellis, M. and Dutta, B. (2021). Developing the Covid-19 CODO Knowledge Graph: An Agile Approach From Ontology to Knowledge Graph. In: Villazón-Terrazas B., Ortiz-Rodríguez F., Tiwari S., Goyal A., Jabbar M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science (CCIS), Springer, Cham, vol. 1459, pp. 153-168. (DOI: https://doi.org/10.1007/978-3-030-91305-2_12)

3. DeBellis, M. and Dutta, B. (2022). From Ontology to Knowledge Graph with Agile Methods: The Case of COVID-19 CODO Knowledge Graph. International Journal of Web Information Systems, 18(5/6), 432-452. https://doi.org/10.1108/IJWIS-03-2022-0047

4. Dutta, B.and Bain, D. (2024). Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization. Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol. 61, no. 5, pp. 245-253. DOI: https://doi.org/10.17821/srels/2024/v61i5/171582. Preprint

5. Bain, Debanjali and Dutta, Biswanath (2025). Ontological Approach Towards Discovering and Recommending COVID-19 Therapeutics, Risk Factors, and Drug Interactions. In Springer Journal of Supercomputing. 81:841. DOI: https://doi.org/10.1007/s11227-025-07302-x Preprint

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