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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/02/2006 |
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Data da última atualização: |
17/01/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
SOUZA, K. X. S. de; DAVIS, J.; EVANGELISTA, S. R. M. |
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Afiliação: |
KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOSEPH DAVIS, The University of Sydney; SILVIO ROBERTO MEDEIROS EVANGELISTA, CNPTIA. |
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Título: |
Aligning ontologies and evaluating concept similarities and visualizing results. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Journal on Data Semantics, v. 5, New York, p. 211-236, 2006. |
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Série: |
(Lecture notes in computer science, 3870). |
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DOI: |
10.1007/11617808_8 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Formal concept analysis; Lattice visualization; Ontologia; Ontology alignment; Similarity measures. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01985naa a2200229 a 4500
001 1009266
005 2020-01-17
008 2006 bl uuuu u00u1 u #d
024 7 $a10.1007/11617808_8$2DOI
100 1 $aSOUZA, K. X. S. de
245 $aAligning ontologies and evaluating concept similarities and visualizing results.$h[electronic resource]
260 $c2006
490 $a(Lecture notes in computer science, 3870).
520 $aOntologies 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.
653 $aFormal concept analysis
653 $aLattice visualization
653 $aOntologia
653 $aOntology alignment
653 $aSimilarity measures
700 1 $aDAVIS, J.
700 1 $aEVANGELISTA, S. R. M.
773 $tJournal on Data Semantics$gv. 5, New York, p. 211-236, 2006.
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