Partitioning a Vocabulary's IS-A Hierarchy into Trees

Huanying Gu, Yehoshua Perl, James Geller, Michael Halper, James J. Cimino, Mansnimar Singh

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Controlled medical vocabularies are useful in application areas such as medical information-systems and decision-support. However, such vocabularies are large and complex, and working with them can be daunting. It is important to provide a means for orienting users to the vocabulary's contents. This paper introduces a methodology for partitioning a vocabulary into small, meaningful pieces. The partitioning is done with respect to the vocabulary's IS-A hierarchy. The methodology, based on a set of rules for refining the IS-A hierarchy, is a process carried out by a user in conjunction with the computer. The methodology is demonstrated on a complex portion of a vocabulary.

Original languageEnglish (US)
Pages (from-to)630-634
Number of pages5
JournalJournal of the American Medical Informatics Association
Issue numberSUPPL.
StatePublished - 1997

All Science Journal Classification (ASJC) codes

  • Health Informatics


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