rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2008-1-9
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pubmed:abstractText |
Current efforts within the biomedical ontology community focus on achieving interoperability between various biomedical ontologies that cover a range of diverse domains. Achieving this interoperability will contribute to the creation of a rich knowledge base that can be used for querying, as well as generating and testing novel hypotheses. The OBO Foundry principles, as applied to a number of biomedical ontologies, are designed to facilitate this interoperability. However, semantic extensions are required to meet the OBO Foundry interoperability goals. Inconsistencies may arise when ontologies of properties - mostly phenotype ontologies - are combined with ontologies taking a canonical view of a domain - such as many anatomical ontologies. Currently, there is no support for a correct and consistent integration of such ontologies.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
|
pubmed:issnType |
Electronic
|
pubmed:volume |
8
|
pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
|
pubmed:pagination |
377
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:17925014-Algorithms,
pubmed-meshheading:17925014-Anatomy,
pubmed-meshheading:17925014-Animals,
pubmed-meshheading:17925014-Artificial Intelligence,
pubmed-meshheading:17925014-Computational Biology,
pubmed-meshheading:17925014-Humans,
pubmed-meshheading:17925014-Information Science,
pubmed-meshheading:17925014-Knowledge,
pubmed-meshheading:17925014-Natural Language Processing,
pubmed-meshheading:17925014-Phenotype,
pubmed-meshheading:17925014-Reproducibility of Results,
pubmed-meshheading:17925014-Semantics,
pubmed-meshheading:17925014-Software,
pubmed-meshheading:17925014-Vocabulary, Controlled
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pubmed:year |
2007
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pubmed:articleTitle |
Representing default knowledge in biomedical ontologies: application to the integration of anatomy and phenotype ontologies.
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pubmed:affiliation |
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. hoehndorf@eva.mpg.de
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|