Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1229
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGarg, Yuvraj-
dc.contributor.authorBalooja, Mudit-
dc.contributor.authorMutharaju, Vijaya Raghava (Advisor)-
dc.date.accessioned2023-04-20T10:45:03Z-
dc.date.available2023-04-20T10:45:03Z-
dc.date.issued2022-12-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1229-
dc.description.abstractMedical information from various sources has to be integrated and compiled together to provide a better understanding of a patient’s health. Mappings between different standards and domain ontologies are constructed to facilitate this very issue. In this report, we discuss our bit of contribution and the process of solving this by building ontology model. Upper ontology is constructed using three Covid-19 ontologies. These ontologies are searched on the internet which are related to covid-19. All the steps involved in building and integrating this system have been explained.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectOntology re-useen_US
dc.subjectProtegeen_US
dc.subjectCOVID-19 Ontologyen_US
dc.subjectSemantic Weben_US
dc.subjectDomain Ontologyen_US
dc.subjectClinical Dataen_US
dc.titleBuilding ontology models and knowledge graphs for healthcare dataen_US
Appears in Collections:Year-2022

Files in This Item:
File Description SizeFormat 
Mudit Balooja.pdf
  Restricted Access
508.87 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.