Work

Partitioning a vocabulary's IS-A hierarchy into trees.

Year: 1997

Type: article

Abstract: 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.

Source: Europe PMC (PubMed Central)

Authors: H Gu, Y Perl, J Geller, M Halper, J J Cimino, M Singh

Institutions: New Jersey Institute of Technology, Kean University, Columbia University

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W1597990569

FWCI: 0.474

Cites: 4

Cited by: 6

Related to: 10