Work

The influence of similarity between concepts in evolving biomedical ontologies for mapping adaptation.

Year: 2014

Type: article

Abstract: Biomedical ontologies continuously evolve which demands maintain associated mappings up-to-date. This article studies whether similarity calculated between values of concept attributes issued from successive ontology versions plays a role in deciding mapping adaptation actions. We empirically analyse the evolution of official mappings established between large biomedical ontologies. The results point out the relevance of this factor for mapping adaptation.

Source: PubMed

Authors: Julio Cesar Dos Reis, Duy Dinh, Cédric Pruski, Marcos Da Silveira, Chantal Reynaud-Delaître

Institutions: Centre de recherche public Henri-Tudor, Université Paris-Sud, Laboratoire de Recherche en Informatique

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W2399319331

FWCI: 0.154

Cites:

Cited by: 1

Related to: 10