Modeling a vocabulary in an object-oriented database

Li min Liu, Michael Halper, Huanying Gu, James Geller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


Controlled vocabularies have been used as the means for unifying disparate terminologies found within an application field. This unification leads to better administration of information and enhanced communication among various parties. Semantic networks have been shown to be excellent vehicles for modeling controlled vocabularies. However, they often lack the necessary access flexibility and robustness required by external agents such as intelligent information-locators and decision-support systems. In this paper, we describe the process of mapping art existing medical vocabulary based on a semantic network model into an Object-Oriented Database (OODB) system. We first consider two straightforward approaches to carrying out this task and describe their deficiencies. We then present a new approach which yields a very compact OODB schema for the representation of the vocabulary's entire hierarchy and inter-connectivity. We refer to the resulting OODB as the Object-Oriented Healthcare Vocabulary Repository (OOHVR), which is currently up and running in the context of ONTOS a commercially available OODB system.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
EditorsK. Barker, M.T. Ozsu
Number of pages10
StatePublished - Dec 1 1996
EventProceedings of the 1996 5th ACM CIKM International Conference on Information and Knowledge Management - Rockville, MD, USA
Duration: Nov 12 1996Nov 16 1996


OtherProceedings of the 1996 5th ACM CIKM International Conference on Information and Knowledge Management
CityRockville, MD, USA

All Science Journal Classification (ASJC) codes

  • General Business, Management and Accounting


Dive into the research topics of 'Modeling a vocabulary in an object-oriented database'. Together they form a unique fingerprint.

Cite this