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Registro Completo |
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 |
Marc: |
LEADER 01576nam a2200229 a 4500 001 1008266 005 2020-01-17 008 2004 bl uuuu u00u1 u #d 020 $a3-540-22959-0 100 1 $aSOUZA, K. X. S. de 245 $aUsing an aligned ontology to process user queries.$h[electronic resource] 260 $aIn: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 11., 2004, Varna. Proceedings... Berlin: Springer$c2004 300 $ap. 44-53. 490 $a(Lecture notes in artificial intelligence, 3192). 500 $aEditores: Christoph Bussler, Dieter Fensel. AIMSA 2004. 520 $aOntologies 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. 653 $aFormal Concept Analysis 653 $aGalois lattice 653 $aLattice theory 653 $aOntologia 653 $aOntology 700 1 $aDAVIS, J.
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Embrapa Agricultura Digital (CNPTIA) |
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Registros recuperados : 74 | |
6. | | SOUZA, K. X. S. de; DAVIS, J. Aligning ontologies and evaluating concept similarities. In: OTM CONFEDERATED INTERNATIONAL CONFERENCES, 3.; COOPERATIVE INFORMATION SYSTEMS; DISTRIBUTED OBJECTS AND APPLICATIONS; ONTOLOGIES, DATABASES AND APPLICATIONS OF SEMANTICS, 2014, Agia Napa. On the move to meaningful internet systems 2004: CoopIS, DOA, and ODBASE: proceedings. Berlin: Springer, 2004. part. II, p. 1012-1029. (Lecture notes in computer science, 3291). Editores: Robert Meersman, Zahir Tari. CoopIS, DOA, ODBASE 2004.Biblioteca(s): Embrapa Agricultura Digital. |
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8. | | SOUZA, K. X. S. de; DAVIS, J. Using an aligned ontology to process user queries. In: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, APPLICATIONS, 11., 2004, Varna. Proceedings... Berlin: Springer, 2004. p. 44-53. (Lecture notes in artificial intelligence, 3192). Editores: Christoph Bussler, Dieter Fensel. AIMSA 2004.Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 74 | |
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