- New technologies used in biology are generating huge
quantities of data; up to two petabytes of overall data
are to be expected by the end of the decade. Modern
biology also has to deal with multitude of information
representations that are driven by the continuous
evolution of biological knowledge. Conceptual modeling
allows layered descriptions whose abstractions are
rather stable while their concrete descriptions may
evolve: formal ontologies versus domain ontologies,
metamodels versus models, etc.
In this paper we introduce an incremental integration
methodology that is based on the Open Biomedical
Ontology (OBO) umbrella. The proof of concept
for our methodology is carried out using the Gene
Ontology's (GO) case study in which GO extensions
are viewed as manifestations of the domain knowledge
evolution. Based on this conceptual foundation,
we present a metamodeling architecture that encompasses
metamodels and models of GO, as well as those
of GO extensions. Our architecture can be used for
ensuring semantical quality of biological knowledge
integration.
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