An ontology-driven tool for structured data acquisition using Web forms.

Journal: Journal of biomedical semantics
Published Date: Aug 1, 2017

Abstract

BACKGROUND: Structured data acquisition is a common task that is widely performed in biomedicine. However, current solutions for this task are far from providing a means to structure data in such a way that it can be automatically employed in decision making (e.g., in our example application domain of clinical functional assessment, for determining eligibility for disability benefits) based on conclusions derived from acquired data (e.g., assessment of impaired motor function). To use data in these settings, we need it structured in a way that can be exploited by automated reasoning systems, for instance, in the Web Ontology Language (OWL); the de facto ontology language for the Web.

Authors

  • Rafael S Gonçalves
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA. rafael.goncalves@stanford.edu.
  • Samson W Tu
    Biomedical Informatics Research (BMIR), Stanford University School of Medicine, Stanford, CA.
  • Csongor I Nyulas
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Michael J Tierney
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Mark A Musen
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305-5479, United States. Electronic address: musen@stanford.edu.

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