Advanced conceptual clustering and associated querying facilities in object-oriented databases

C.-W. Fung, Qing Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Conventional object-oriented database (OODB) systems follow a class-based approach to model real world entities and their relationships, which imposes several difficulties when more advanced "dynamic functions" are needed by the applications. One of such dynamic functions is conceptual clustering - the ability to dynamically group a set of existing objects together as a higher-level abstract object (called a "cluster"). The conceptual clustering model (CCM) that we have defined is an extension to current object-oriented models, which facilitates the modeling of dynamic, evolving, and/or ad hoc object clusters through a well-devised clustering mechanism that incorporates "roles". This paper presents the advanced features of CCM, along with its associated query language facilities devised for supporting general definition and access of clusters (and roles). An experimental prototype of the CCM has been constructed on top of a persistent object storage manager, running on a Sun4 workstation.
Original languageEnglish
Pages (from-to)343-367
Number of pages25
JournalInternational Journal of Software Engineering and Knowledge Engineering
Issue number3
Publication statusPublished - 1 Jan 1999
Externally publishedYes


  • Conceptual clustering model
  • Dynamic roles
  • Meta-level retrieval
  • Object-oriented databases
  • Query languages

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence


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