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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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Dilvan A. Moreira; Christopher J. Mungall; Nigam H. Shah; Stuart Aitken; John-Day Richter; Timothy Redmond; Mark A. Musen. |
Two of the most significant formats for biomedical ontologies are the Open Biomedical Ontologies Format (OBOF) and the Web Ontology Language (OWL). To make it possible to translate ontologies between these two representation formats, the National Center for Biomedical Ontology (NCBO) has developed a mapping between the OBOF and OWL formats as well as inter-conversion software. The goal was to allow the sharing of tools, ontologies, and associated data between the OBOF and Semantic Web communities.

OBOF does not have a formal grammar, so the NCBO had to capture its intended semantics to map it to OWL.

This official NCBO mapping was used to make all OBO Foundry ontologies available in OWL.... |
Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
Ano: 2009 |
URL: http://precedings.nature.com/documents/3938/version/1 |
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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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