Infectious disease ontology

Lindsay Grey Cowell, Barry Smith

Research output: Chapter in Book/Report/Conference proceedingChapter

83 Scopus citations


In the last decade, technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the automated processing of data and information. More recently, ontologies have been shown to have significant benefits both for the analysis of data resulting from high-throughput technologies and for automated reasoning applications, and this has led to organized attempts to improve the structure and formal rigor of ontologies in ways that will better support computational analysis and reasoning. In this chapter, we describe different types of vocabulary resources and emphasize those features of formal ontologies that make them most useful for computational applications. We describe current uses of ontologies and discuss future goals for ontology-based computing, focusing on its use in the field of infectious diseases. We review the largest and most widely used vocabulary resources relevant to the study of infectious diseases and conclude with a description of the Infectious Disease Ontology (IDO) suite of interoperable ontology modules that together cover the entire infectious disease domain.

Original languageEnglish (US)
Title of host publicationInfectious Disease Informatics
PublisherSpringer New York
Number of pages23
ISBN (Print)9781441913265
StatePublished - 2010

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Infectious disease ontology'. Together they form a unique fingerprint.

Cite this