Issues in the structuring and acquisition of an ontology for medical language understanding.

Zweigenbaum, P; Bachimont, B; Bouaud, J; Charlet, J; Boisvieux, J F

Zweigenbaum, P; Bachimont, B; Bouaud, J; Charlet, J; Boisvieux, J F.

Afiliación

Zweigenbaum P; DIAM-SIM, Service d'Informatique Médicale, Hôpitaux de Paris.

Methods Inf Med ; 34(1-2): 15-24, 1995 Mar.

Article en En | MEDLINE | ID: mdl-9082125

RESUMEN

Medical natural language understanding basically aims at representing the contents of medical texts in a formal, conceptual representation. The understanding process itself increasingly relies on a body of domain knowledge, generally expressed in the same conceptual formalism. The design of such a conceptual representation is a key knowledge-acquisition issue. When representing knowledge, the most important point is to ensure that the formal exploitation of the knowledge representation conforms to its meaning in the domain. We examined some methodological and theoretical principles to enforce this conformity. These principles result from our experience in MENELAS, a medical language understanding project.

Asunto(s)

Procesamiento de Lenguaje Natural; Inteligencia Artificial; Formación de Concepto; Humanos; Semántica; Diseño de Software; Unified Medical Language System

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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural Límite: Humans Idioma: En Revista: Methods Inf Med Año: 1995 Tipo del documento: Article Pais de publicación: Alemania

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