Preliminary analysis of difficulty of importing pattern-based concepts into the national cancer institute thesaurus

Zhe He, James Geller

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Maintenance of biomedical ontologies is difficult. We have developed a pattern-based method for dealing with the problem of identifying missing concepts in the National Cancer Institute thesaurus (NCIt). Specifically, we are mining patterns connecting NCIt concepts with concepts in other ontologies to identify candidate missing concepts. However, the final decision about a concept insertion is always up to a human ontology curator. In this paper, we are estimating the difficulty of this task for a domain expert by counting possible choices for a pattern-based insertion. We conclude that even with support of our mining algorithm, the insertion task is challenging.

Original languageEnglish (US)
Pages (from-to)389-393
Number of pages5
JournalStudies in Health Technology and Informatics
Volume228
DOIs
StatePublished - Jan 1 2017
EventMedical Informatics Europe Conference, MIE 2016 at the Health - Exploring Complexity: An Interdisciplinary Systems Approach, HEC 2016 - Munich, Germany
Duration: Aug 28 2016Sep 2 2016

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Keywords

  • Biomedical ontology
  • Concept insertion
  • Ncit
  • Ontology maintenance

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