Abstract
To address the problems of both structured coordination of linked and modularised ontologies and to query a large dynamic ontology system, we propose a basic granularity framework and a set of functions to query such a granulated system. The granularity framework enforces a constrained and structured modularization. This facilitates automation of both dividing a large body of represented information as well as relinking the pieces. The functions enable basic cross-granular querying in a transparent and scalable way, as they rely on the unambiguous management layer provided by the granularity framework, and are reusable for ontologies represented and stored in different formats.
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References found in this work BETA

A Theory of Granular Partitions.Thomas Bittner & Barry Smith - 2003 - In M. Duckham, M. F. Goodchild & M. F. Worboys (eds.), Foundations of Geographic Information Science. London: Taylor & Francis. pp. 117-151.
Biomedical Informatics and Granularity.Anand Kumar & Barry Smith - 2004 - Comparative and Functional Genomics 5 (6-7):501-508.

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