Literature DB >> 16873523

A top-level ontology of functions and its application in the Open Biomedical Ontologies.

Patryk Burek1, Robert Hoehndorf, Frank Loebe, Johann Visagie, Heinrich Herre, Janet Kelso.   

Abstract

MOTIVATION: A clear understanding of functions in biology is a key component in accurate modelling of molecular, cellular and organismal biology. Using the existing biomedical ontologies it has been impossible to capture the complexity of the community's knowledge about biological functions.
RESULTS: We present here a top-level ontological framework for representing knowledge about biological functions. This framework lends greater accuracy, power and expressiveness to biomedical ontologies by providing a means to capture existing functional knowledge in a more formal manner. An initial major application of the ontology of functions is the provision of a principled way in which to curate functional knowledge and annotations in biomedical ontologies. Further potential applications include the facilitation of ontology interoperability and automated reasoning. A major advantage of the proposed implementation is that it is an extension to existing biomedical ontologies, and can be applied without substantial changes to these domain ontologies. AVAILABILITY: The Ontology of Functions (OF) can be downloaded in OWL format from http://onto.eva.mpg.de/. Additionally, a UML profile and supplementary information and guides for using the OF can be accessed from the same website.

Mesh:

Substances:

Year:  2006        PMID: 16873523     DOI: 10.1093/bioinformatics/btl266

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  15 in total

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2.  A common layer of interoperability for biomedical ontologies based on OWL EL.

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3.  Applying the functional abnormality ontology pattern to anatomical functions.

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4.  An evolutionary approach to Function.

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5.  Mechanisms in biomedical ontology.

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6.  An ontological analysis of some biological ontologies.

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7.  Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning.

Authors:  Robert Hoehndorf; Michel Dumontier; Anika Oellrich; Dietrich Rebholz-Schuhmann; Paul N Schofield; Georgios V Gkoutos
Journal:  PLoS One       Date:  2011-07-18       Impact factor: 3.240

8.  An open annotation ontology for science on web 3.0.

Authors:  Paolo Ciccarese; Marco Ocana; Leyla Jael Garcia Castro; Sudeshna Das; Tim Clark
Journal:  J Biomed Semantics       Date:  2011-05-17

9.  Integrating systems biology models and biomedical ontologies.

Authors:  Robert Hoehndorf; Michel Dumontier; John H Gennari; Sarala Wimalaratne; Bernard de Bono; Daniel L Cook; Georgios V Gkoutos
Journal:  BMC Syst Biol       Date:  2011-08-11

10.  AlzPharm: integration of neurodegeneration data using RDF.

Authors:  Hugo Y K Lam; Luis Marenco; Tim Clark; Yong Gao; June Kinoshita; Gordon Shepherd; Perry Miller; Elizabeth Wu; Gwendolyn T Wong; Nian Liu; Chiquito Crasto; Thomas Morse; Susie Stephens; Kei-Hoi Cheung
Journal:  BMC Bioinformatics       Date:  2007-05-09       Impact factor: 3.169

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