Architecture and usability of OntoKeeper, an ontology evaluation tool.

Journal: BMC medical informatics and decision making
Published Date: Aug 8, 2019

Abstract

BACKGROUND: The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automated tools may help to ease the ontology construction, maintenance, assessment and quality assurance processes. However, there are relatively few tools that exist that can provide this support to knowledge engineers.

Authors

  • Muhammad Amith
    University of Texas Health Science Center.
  • Frank Manion
    Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
  • Chen Liang
    Shanghai Institute of Forensic Science, Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China.
  • Marcelline Harris
    Department of Systems, Populations and Leadership, University of Michigan School of Nursing, 426 N. Ingalls St, Ann Arbor, 48109, MI, USA.
  • Dennis Wang
    Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
  • Yongqun He
    University of Michigan Medical School, Ann Arbor, MI 48109 USA ; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, Center for Computational Medicine and Bioinformatics, and Comprehensive Cancer Center, University of Michigan Medical School, 1301 MSRB III, 1150 W. Medical Dr., Ann Arbor, MI 48109 USA.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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