It is not reasonable to consider that a single data model can be adequate for any application/There are many data models; each of them has its advantages and drawbacks. Building up an other model does not make sense in the actual slate of research in the database field. Our approach consists of a proposal of a meta-model providing an open environment to allow knowledge evolution in object-oriented database systems. Knowledge evolution means updates on database schema: propagation of updates from schema to instances and dynamic propagation of views update operations. Furthermore this meta-model enables the extension of data model concepts by modifying their semantics. By modifying and extending these model, it can be tailored or customised to suit various application domains.
CITATION STYLE
Bellahsene, Z. (1993). An active meta-model for knowledge evolution in an object-oriented database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 685 LNCS, pp. 39–53). Springer Verlag. https://doi.org/10.1007/3-540-56777-1_3
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