Data/hora: 15/06/2024 18:38:18

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)

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CNPTIA - (10578-1) - UPC - AA - -- -  -  - 2004.00051 - DES
CNPTIA - (10578-2) - UPC - AA - DD -  -  -  - DIS