Abstract vs. social roles - Towards a general theoretical account of roles
Applied Ontology - Roles, an interdisciplinary perspective
Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Translational integrity and continuity: Personalized biomedical data integration
Journal of Biomedical Informatics
GFO-Bio: A biological core ontology
Applied Ontology - Towards a Metaontology for the Biomedical Domain
Ontological dependence, dispositions and institutional reality in chemistry
Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
Using an ECG reference ontology for semantic interoperability of ECG data
Journal of Biomedical Informatics
A proposal for a gene functions wiki
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
GFO-Bio: A biological core ontology
Applied Ontology - Towards a Metaontology for the Biomedical Domain
Abstract vs. social roles - Towards a general theoretical account of roles
Applied Ontology - Roles, an interdisciplinary perspective
International Journal of Information System Modeling and Design
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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. Additionally, a UML profile and supplementary information and guides for using the OF can be accessed from the same website. Contact: bioonto@lists.informatik.uni-leipzig.de