DocumentCode :
2692181
Title :
Extracting entity-relationship schemas from relational databases: a form-driven approach
Author :
Mfourga, N.
Author_Institution :
Inst. d´´Adm. et de Gestion, Univ. Catholique de Louvain, Belgium
fYear :
1997
fDate :
6-8 Oct 1997
Firstpage :
184
Lastpage :
193
Abstract :
The paper presents a framework for extracting an entity-relationship schema from a set of form model schemas of an operational relational database. Form model schemas gather information, i.e., structural information and constraints among data, extracted from both form structures and instances and then generalized into database semantics using an inference process guided by human activity. The approach uses these schemas to supplement low-level schemas to help reconstruct a conceptual schema, in this case an entity-relationship schema
Keywords :
business data processing; entity-relationship modelling; information systems; relational databases; reverse engineering; software maintenance; systems re-engineering; conceptual schema reconstruction; data constraints; database semantics; entity-relationship schema extraction; form instances; form model schemas; form structures; form-driven approach; human activity; inference process; operational relational database; structural information; supplemented low-level schemas; Data engineering; Data mining; Displays; Documentation; Hardware; Humans; Information retrieval; Relational databases; Reverse engineering; Software maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reverse Engineering, 1997. Proceedings of the Fourth Working Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-8186-8162-4
Type :
conf
DOI :
10.1109/WCRE.1997.624589
Filename :
624589
Link To Document :
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