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CTO: A community-based clinical trial ontology and its applications in PubChemRDF and SCAIView

  • Asiyah Yu Lin
  • , Stephan Gebel
  • , Qingliang Leon Li
  • , Sumit Madan
  • , Johannes Darms
  • , Evan Bolton
  • , Barry Smith
  • , Martin Hofmann-Apitius
  • , Yongqun Oliver He
  • , Alpha Tom Kodamullil
  • United States Food and Drug Administration
  • National Center for Ontological Research
  • Fraunhofer Institute for Algorithms and Scientific Computing
  • National Institutes of Health
  • University of Michigan, Ann Arbor

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked to multiple clinical trials investigating Gleevec’s related chemical compounds. Second, the SCAIView text mining engine shows how the use of CTO terms in its search algorithm can identify publications referring to COVID-19-related clinical trials. Future opportunities and challenges are discussed.

Keywords

  • BFO
  • Clinical trial
  • Clinical trial registry
  • COVID-19
  • Ontology

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