Data/hora: 01/06/2024 06:38:12

Biblioteca(s): 	Embrapa Agricultura Digital.	
Tipo da produção científica: 	Capítulo em Livro Técnico-Científico	
Data corrente: 	07/02/2006	
Data da última atualização: 	17/01/2020	
Autoria: 	SOUZA, K. X. S. de; DAVIS, J.; EVANGELISTA, S. R. M.	
Afiliação: 	KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOSEPH DAVIS, The University of Sydney; SILVIO ROBERTO MEDEIROS EVANGELISTA, CNPTIA.	
Título: 	Aligning ontologies and evaluating concept similarities and visualizing results.	
Ano de publicação: 	2006	
Fonte/Imprenta: 	Journal on Data Semantics, v. 5, New York, p. 211-236, 2006.	
Série: 	(Lecture notes in computer science, 3870).	
DOI: 	10.1007/11617808_8	
Idioma: 	Inglês	
Conteúdo: 	Ontologies have been created for many different subjects and by independent groups around the world. The nonexistence of a commonly accepted and used general purpose upper-ontology makes it difficult to integrate these ontologies through merge and alignment operations. The majority of the algorithms proposed so far rely on syntactic analysis, disregarding the structural properties of the source ontologies. In our previous work, we proposed an alignment method that considers the structural properties of an upper-ontology constructed using a thesaurus and Formal Concept Analysis technique (PCA). We also analyzed the FCA's lattice structure and proposed a measure of similarity based on Tversky's model, which allowed us to identify closely related concepts in different source ontologies. In this paper, we apply the align-ment method to ontologies developed for a completely different domain, and enhance the solution by providing a navigational aid for the lattice. It is well known that one of the main drawbacks of the application of FCA is that the resulting lattice soon becomes cluttered when the number of objects and attributes increases. The proposed solution is based on hyperbolic visualization and on structural elements of the lattice.	
Palavras-Chave: 	Formal concept analysis; Lattice visualization; Ontologia; Ontology alignment; Similarity measures.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (11050-1) - UPC - AP - -- -  -  - 2006.00002 - DES
CNPTIA - (11050-2) - UPC - AP - DD -  -  -  - DIS