Object-oriented database systems
Readings in object-oriented database systems
Object-oriented databases: a semantic data model approach
Object-oriented databases: a semantic data model approach
Building an object-oriented database system
Object databases: the essentials
Object databases: the essentials
Modeling a vocabulary in an object-oriented database
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
Graph Algorithms
Object-Oriented Database Systems: Concepts and Architectures
Object-Oriented Database Systems: Concepts and Architectures
Controlled Vocabularies in OODBs: Modeling Issues and Implementation
Distributed and Parallel Databases
Designing metaschemas for the UMLS enriched semantic network
Journal of Biomedical Informatics - Special issue: Unified medical language system
An application intersection marketing ontology
Theoretical Computer Science
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Controlled Vocabularies (CVs) are networks of concepts that unify disparate terminologies and facilitate the process of information sharing within an application domain. We describe a general methodology for representing an existing CV as an object-oriented database (OODB), called an Object-Oriented Vocabulary Repository (OOVR). A formal description of the OOVR methodology, which is based on a structural abstraction technique, is given, along with an algorithmic description and a number of theorems pertaining to some of the methodology's formal characteristics. An OOVR offers a two-level view of a CV, with the schema-level view serving as an important abstraction that can aid in orientation to the CV's contents. While an OOVR can also assist in traversals of the CV, we have identified certain special CV configurations where such traversals can be problematic. To address this, we introduce驴based on the original methodology驴an enhanced OOVR methodology that utilizes both structural and semantic features to partition and model a CV's constituent concepts. With its basis in the notions of area and the recursively defined articulation concept, an enhanced OOVR representation provides users with an improved CV view comprising groups of concepts uniform both in their structure and semantics. An algorithmic description of the singly rooted OOVR methodology and theorems describing some of its formal properties are given. The results of applying it to a large existing CV are discussed.