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In this paper we discuss a system which uses an ontology to provide access to, and loading from, a medical database system. The "pure" ontological information is used to define which individuals in the database are of interest for further analysis. The system then loads the information about these individuals into a "hybrid" ontology, one which ties the specific instances to the more general ontology. To support the large ontologies needed in this application (and a number of others), we use Parka-DB, a scalable ontology management system that uses relational database techniques to provide many desirable operational features.

K. Stoffel and J. Hendler, "Back-End Technology for High-Performance Knowledge-Representation Systems," in IEEE Intelligent Systems, vol. 14, no. , pp. 63-69, 1999.
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