An ontology for the semantic modelling of natural systems

By F. Villa, I.N. Athanasiadis & G.W. Johnson
In PLoS Track at 15th Annual International Conference on Intelligent Systems for Molecular Biology and & 6th European Conference on Computational Biology , pp. 4 , Vienna, Austria, 2007.

Abstract:
Cover image This paper presents a new theoretical synthesis that stems from the realization that all system models, whether static (datasets) or dynamic, incarnate the result of an observation process that can be described logically through a single, appropriately expressive ontology. Such a conceptualization, which we have distilled into a publicly available OWL ontology and supported with open source software infrastructure, not only provides a more natural semantics for data annotation, but is also key to enabling a novel integration of data, models, and applications.

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