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Conceptual database evolution through learning in object databases

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2 Author(s)
Li, Qing ; Dept. of Comput. Sci., Hong Kong Univ., Hong Kong ; McLeod, D.

Changes to the conceptual structure (meta-data) of a database are common in many application environments and are in general inadequately supported by existing database systems. An approach to supporting such meta-data evolution in a simple, extensible, object database environment is presented. Machine learning techniques are the basis for a cooperative user/system database design and evolution methodology. An experimental end-user database evolution tool based on this approach has been designed and implemented

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:6 ,  Issue: 2 )