CODO: An Ontology for Collection and Analysis of Covid-19 Data

  title={CODO: An Ontology for Collection and Analysis of Covid-19 Data},
  author={Biswanath Dutta and Michael DeBellis},
The COviD-19 Ontology for cases and patient information (CODO) provides a model for the collection and analysis of data about the COVID-19 pandemic. The ontology provides a standards-based open-source model that facilitates the integration of data from heterogeneous data sources. The ontology was designed by analysing disparate COVID-19 data sources such as datasets, literature, services, etc. The ontology follows the best practices for vocabularies by re-using concepts from other leading… 

Figures and Tables from this paper

ROC: An Ontology for Country Responses towards COVID-19

The ROC ontology for country responses to CO VID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic and focuses on country measures and enables the integration of data from heterogeneous data sources.


  • A. IsmailM. Şah
  • Computer Science
    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 2021
This paper proposes a Covid-19 ontology (named CODCA) that helps in collecting, analysing, and sharing medical information about people in the e-health domain and illustrates the usage of semantic rules so that treatment plans for individual patients can be inferred from the available knowledge.

A Community Effort for COVID-19 Ontology Harmonization

This effort demonstrates the feasibility of harmonizing these ontologies in an interoperable framework to support integrative representation and analysis of COVID-19 related data and knowledge.

Ontological engineering for the definition of a COVID-19 pandemic ontology

Features and Limitations of Ontologies for Coronavirus Data Management in Libraries

The purpose of this chapter is to follow the evolution of what has occurred over time in the ontologies published in response to the COVID-19 pandemic. Correctness and completeness of ontologies on

The Coronavirus Disease Ontology (CovidO) (cid:63)

The ontology developed in this work addresses grouping the existing ontologies to build a global data model and collects and validates records for decision-making used to set guidelines and recommend resources.

The Covid-19 CODO Development Process: an Agile Approach to Knowledge Graph Development

The CODO ontology was designed to capture data about the Covid-19 pandemic to perform contact tracing and answer questions about infection paths based on information about relations between patients, geography, time, etc.

A survey on ontology techniques deployed in the biomedical domain

  • Shruti PThirumahal R
  • Computer Science
    Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India
  • 2021
This paper surveys the ontology engineering methods used in various biomedical domains like cardiology, nephrology, diabetes, Covid-19, traditional medicine and the recent advancements in ontology development.

Automatic diagnosis of COVID-19 infection based on ontology reasoning

The CO VID-19 Diagnosis Ontology will not only significantly reduce the manual input in the diagnosis process of COVID-19, but also uncover hidden cases and help prevent the widespread of this epidemic.

Mining Concepts for a COVID Interface Terminology for Annotation of EHRs

This work proposes to design a COVID interface terminology for the annotation of EHR notes of COVID-19 patients, and uses the techniques of concatenation and anchoring iteratively to extract high granularity phrases from the clinical text.



ONTOMETRIC: A Method to Choose the Appropriate Ontology

This work proposes a method, ONTOMETRIC, which allows the users to measure the suitability of existing ontologies, regarding the requirements of their systems.

Examining the interrelatedness between ontologies and Linked Data

  • B. Dutta
  • Computer Science
    Libr. Hi Tech
  • 2017
The author illustrates the real-world systems that are based on ontology and LD, discusses the issues and challenges and finally illustrates their interdependency discussing some of the ongoing research works.

A Proposal for a Unified Process for Ontology Building: UPON

UPON is presented, a methodology for ontology building derived from the Unified Software Development Process, and a comparative evaluation with other methodologies, as well as the results of its adoption in the context of the Athena Integrated Project.

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

The Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis.

The NeOn Methodology for Ontology Engineering

The NeOn Methodology suggests a variety of pathways for developing ontologies in commonly occurring situations, for example, when available ontologies need to be re-engineered, aligned, modularized, localized to support different languages and cultures, and integrated with ontology design patterns and non-ontological resources.

Ontology Engineering in a Networked World

This book by Surez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment.

YAMO: Yet Another Methodology for large-scale faceted Ontology construction

A brand new ontology development methodology, called Yet Another Methodology for Ontology (YAMO) is proposed and demonstrated, step by step, the building of a formally defined large-scale faceted ontology for food.

Mapping Master: A Flexible Approach for Mapping Spreadsheets to OWL

The developed language, called M2, overcomes shortcomings with existing mapping techniques, including their restriction to well-formed spreadsheets reminiscent of a single relational database table and verbose syntax for expressing mapping rules when transforming spreadsheet contents into OWL.

Learning SPARQL

This concise book will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints.

The protégé project: a look back and a look forward

Protege has become the most widely used software for building and maintaining ontologies, and the Web-based version has become extremely popular, and it recently exceeded the desktop-client in its degree of usage.