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Christopher J. Mungall; Alan Ruttenberg; David Osumi-Sutherland. |
Accurate representation of complex domains such as biology demands powerful and expressive ontology languages such as OWL. However, the complex nested class expressions required for modeling can be a hindrance to ontology authoring and adoption. These class expressions can appear opaque to domain experts, and even users proficient in OWL can benefit from some kind of syntactic sugar or "short-cut" strategy, especially when authoring large ontologies.

One solution is to have domain experts fill in simple templates (for example, in Excel) and translate the results into more complex axioms, but this has the disadvantage of being disconnected from full ontology authoring and reasoning... |
Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
Ano: 2011 |
URL: http://precedings.nature.com/documents/5292/version/2 |
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Christopher J. Mungall; Alan Ruttenberg; David Osumi-Sutherland. |
Accurate representation of complex domains such as biology demands
powerful and expressive ontology languages such as OWL. However, the
complex nested class expressions required for modeling can be a
hindrance to ontology authoring and adoption. These class expressions
can appear opaque to domain experts, and even users proficient in OWL
can benefit from some kind of syntactic sugar or "short-cut"
strategy, especially when authoring large ontologies.

One solution is to have domain experts fill in simple templates (for
example, in Excel) and translate the results into more complex... |
Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
Ano: 2010 |
URL: http://precedings.nature.com/documents/5292/version/1 |
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