Using a similarity measurement to partition a vocabulary of medical concepts

Huanying Helen Gu, James Geiler, Li Min Liu, Michael Halper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Controlled medical vocabularies have become increasingly important in a range of medical informatics applications. However, the extensive size of most vocabularies often makes it difficult for users to gain an understanding of their contents. In previous work, we have investigated the partitioning of a large semantic-network based medical vocabulary into smaller units, for the purpose of easier graphical display and comprehension. The partitioning process relied heavily on a domain expert. In this paper, we propose a structural method for automating the partitioning of a vocabulary. The structural method is based on a definition of the similarity of a pair consisting of a child concept and its parent concept in the semantic network. A distribution over these similarities for all pairs in the semantic network is then computed. Based on this distribution, the semantic network can be partitioned into more manageable pieces. The approach has been applied to the InterMED and a complex portion of the MED, two large medical vocabularies.

Original languageEnglish (US)
Title of host publicationDatabase and Expert Systems Applications - 10th International Conference, DEXA 1999, Proceedings
EditorsTrevor J. M. Bench-Capon, Giovanni Soda, A. Min Tjoa
PublisherSpringer Verlag
Pages712-723
Number of pages12
ISBN (Print)3540664483, 9783540664482
DOIs
StatePublished - Jan 1 1999
Externally publishedYes
Event10th International Conference on Database and Expert Systems Applications, DEXA 1999 - Florence, Italy
Duration: Aug 30 1999Sep 3 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1677
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Database and Expert Systems Applications, DEXA 1999
Country/TerritoryItaly
CityFlorence
Period8/30/999/3/99

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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