ADVANCED CONCEPTUAL CLUSTERING AND ASSOCIATED QUERYING FACILITIES IN OBJECT-ORIENTED DATABASES
| Autor: | Qing Li, Chi-Wai Fung |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Theoretical computer science
Workstation Computer Networks and Communications Computer science Conceptual clustering Class (philosophy) Extension (predicate logic) Object (computer science) Query language Computer Graphics and Computer-Aided Design law.invention Set (abstract data type) Artificial Intelligence law Cluster analysis Software |
| Zdroj: | International Journal of Software Engineering and Knowledge Engineering. :343-367 |
| ISSN: | 1793-6403 0218-1940 |
| DOI: | 10.1142/s0218194099000218 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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