Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
Human limits and the VDT computer interface (excerpt)
Human-computer interaction
Object-oriented concepts, databases, and applications
Object-oriented concepts, databases, and applications
Storage management for objects in EXODUS
Object-oriented concepts, databases, and applications
Object-oriented database systems
Readings in object-oriented database systems
Telos: representing knowledge about information systems
ACM Transactions on Information Systems (TOIS)
Communications of the ACM
The ObjectStore database system
Communications of the ACM
Querying object-oriented databases
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Outline of a model for lexical databases
Information Processing and Management: an International Journal
WordNet: a lexical database for English
Communications of the ACM
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
Database description with SDM: a semantic database model
ACM Transactions on Database Systems (TODS)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Semantic Networks in Artificial Intelligence
Semantic Networks in Artificial Intelligence
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
A Descriptive Semantic Formalism for Medicine
Proceedings of the Ninth International Conference on Data Engineering
Implementation Techniques of Complex Objects
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Knowledge representation in the large
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IEEE Transactions on Knowledge and Data Engineering
Using a Similarity Measurement to Partition a Vocabulary of Medical Concepts
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
The cohesive metaschema: a higher-level abstraction of the UMLS semantic network
Journal of Biomedical Informatics
Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
Designing metaschemas for the UMLS enriched semantic network
Journal of Biomedical Informatics - Special issue: Unified medical language system
Comparing and consolidating two heuristic metaschemas
Journal of Biomedical Informatics
Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED
Journal of Biomedical Informatics
An application intersection marketing ontology
Theoretical Computer Science
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A major problem that arises in many large application domainsis the discrepancy among terminologies of different informationsystems. The terms used by the information systems of oneorganization may not agree with the terms used by anotherorganization even when they are in the same domain. Such asituation clearly impedes communication and the sharing ofinformation, and decreases the efficiency of doing business.Problems of this nature can be overcome using a controlledvocabulary (CV), a system of concepts that consolidates andunifies the terminologies of a domain. However, CVs are largeand complex and difficult to comprehend. This paper presentsa methodology for representing a semantic network-basedCV as an object-oriented database (OODB). We call sucha representation an Object-Oriented Vocabulary Repository(OOVR). The methodology is based on a structural analysisand partitioning of the source CV. The representation ofa CV as an OOVR offers both the level of support typicalof database management systems and an abstract view whichpromotes comprehension of the CV‘s structure and content.After discussing the theoretical aspects of the methodology,we apply it to the MED and InterMED, two existing CVs fromthe medical field. A program, called the OOVR Generator,for automatically carrying out our methodology is described.Both the MED-OOVR and the InterMED-OOVR have been createdusing the OOVR Generator, and each exists on top of ONTOS, acommercial OODBMS. The OOVR derived from the InterMED ispresently available on the Web.