Title :
Conceptual database evolution through learning in object databases
Author :
Li, Qing ; McLeod, Dennis
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
fDate :
4/1/1994 12:00:00 AM
Abstract :
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
Keywords :
data structures; deductive databases; learning (artificial intelligence); object-oriented databases; software tools; conceptual database evolution; conceptual structure; cooperative user/system database design; end-user database evolution tool; machine learning techniques; meta-data evolution; object databases; Artificial intelligence; Computer science; Database systems; Design methodology; Indexes; Machine learning; Object oriented databases; Object oriented modeling; Relational databases; Spatial databases;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
