Título:	Using formal concept analysis to calculate similarities among corn diseases.
Autor:	SOUZA, K. X. S. D. MASSRUHÁ, S. M. F. S. FERNANDES, V. M.
Afiliación:	KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; VINÍCIUS M. FERNANDES, Bolsista/CNPTIA.
Año:	2009
Referencia:	In: EFITA CONFERENCE, 7., 2009, Wageningen. Papers... Wageningen: Wagenigen Academic, 2009.
Páginas:	p. 41-47.
Descripción:	Diagnostic reasoning either automated or conducted by diagnosticians relies on having a set of symptoms and trying to match them against a (sparse) matrix containing the complete set of diseases and their corresponding symptioms. Whenever a symptom manifests itself, the diagnostician activates in this matrix several possible diseases which could manifest that symptom. The reasoning proceeds up to the point in which a very small subset of diseases (ideally one) are known to cause those symptoms.
Thesagro:	Doença Milho Doença de Planta
NAL Thesaurus:	Plant diseases and disorders Corn
Palabras clave:	Ontologia Representação do conhecimento Ontology Knowledge representation Lattice Formal Concept Analysis Concept Lattices
Notas:	Efita 2009.
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)