Data/hora: 03/06/2024 14:16:55

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	04/11/2004	
Data da última atualização: 	17/01/2020	
Autoria: 	SOUZA, K. X. S. de; DAVIS, J.	
Afiliação: 	KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOSEPH DAVIS, The University of Sidney.	
Título: 	Using an aligned ontology to process user queries.	
Ano de publicação: 	2004	
Fonte/Imprenta: 	In: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 11., 2004, Varna. Proceedings... Berlin: Springer, 2004.	
Páginas: 	p. 44-53.	
Série: 	(Lecture notes in artificial intelligence, 3192).	
ISBN: 	3-540-22959-0	
Idioma: 	Inglês	
Notas: 	Editores: Christoph Bussler, Dieter Fensel. AIMSA 2004.	
Conteúdo: 	Ontologies have been developed for a number of knowledge domains as diverse as clinical terminology, photo camera parts and micro-array gene expression data. However, processing user queries over a set of overlapping ontologies is not straightforward because they have often been created by independent groups of expertise, each of them adopting different configurations for ontology concepts. A project being carried out at the Brazilian Corporation of Agricultural Research has produced ontologies in sub-domains such as beef cattle, dairy cattle, sheep and beans, among others. This paper focuses on an alignment method for these ontologies based on Formal Concept Analysis, a data analysis technique founded on lattice theory, and a strategy for processing user queries.	
Palavras-Chave: 	Formal Concept Analysis; Galois lattice; Lattice theory; Ontologia; Ontology.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (10578-1) - UPC - AA - -- -  -  - 2004.00051 - DES
CNPTIA - (10578-2) - UPC - AA - DD -  -  -  - DIS