OntoCOVID: Ontology for Semantic Modeling of COVID19 Statistical Data

Shaukat Ali*, Shah Khusro, Sajid Anwar, Abrar Ullah

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Several COVID19 statistical datasets are provided to support stakeholders for better planning and decision making in healthcare. However, the datasets are in heterogeneous proprietary formats that create data silos and compatibility issues and make data discovery and reuse difficult. Further, the data integration for analysis is difficult and is performed by the domain experts manually which is time consuming and error prone. Therefore, an explicit, flexible, and widely acceptable methodology is needed to represent, store, query, and visualize COVID19 statistical data in the datasets. In this paper, we have presented the design and development of OntoCOVID ontology for representing, organizing, sharing, and reusing COVID19 statistical data in the datasets. The OntoCOVID is a lightweight ontology providing definitions of classes, properties, and axioms to semantically represent and relate information in the COVID19 statistical datasets. The OntoCOVID is evaluated to demonstrate its completeness and information retrieval for different use-case scenarios. The results obtained are promising and advocate for the improved ontological design and applications of the OntoCOVID.

Original languageEnglish
Title of host publicationProceedings of International Conference on Information Technology and Applications. ICITA 2021
EditorsAbrar Ullah, Steve Gill, Álvaro Rocha, Sajid Anwar
PublisherSpringer
Pages183-194
Number of pages12
ISBN (Electronic)9789811676185
ISBN (Print)9789811676178
DOIs
Publication statusPublished - 21 Apr 2022
Event15th International Conference on Information Technology and Applications 2021 - Dubai, United Arab Emirates
Duration: 13 Nov 202114 Nov 2021

Publication series

NameLecture Notes in Networks and Systems
Volume350
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference15th International Conference on Information Technology and Applications 2021
Abbreviated titleICITA 2021
Country/TerritoryUnited Arab Emirates
CityDubai
Period13/11/2114/11/21

Keywords

  • COVID19
  • Dataset
  • Ontology
  • OWL
  • Semantic web
  • SPARQL

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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