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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/11/2004 |
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Data da última atualização: |
17/01/2020 |
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Autoria: |
SOUZA, K. X. S. de; DAVIS, J. |
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Afiliação: |
KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOSEPH DAVIS, The University of Sidney. |
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Título: |
Using an aligned ontology to process user queries. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 11., 2004, Varna. Proceedings... Berlin: Springer, 2004. |
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Páginas: |
p. 44-53. |
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Série: |
(Lecture notes in artificial intelligence, 3192). |
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ISBN: |
3-540-22959-0 |
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Idioma: |
Inglês |
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Notas: |
Editores: Christoph Bussler, Dieter Fensel. AIMSA 2004. |
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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. |
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Palavras-Chave: |
Formal Concept Analysis; Galois lattice; Lattice theory; Ontologia; Ontology. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
