Title :
Extracting entity-relationship schemas from relational databases: a form-driven approach
Author_Institution :
Inst. d´´Adm. et de Gestion, Univ. Catholique de Louvain, Belgium
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;
Conference_Titel :
Reverse Engineering, 1997. Proceedings of the Fourth Working Conference on
Conference_Location :
Amsterdam
Print_ISBN :
0-8186-8162-4
DOI :
10.1109/WCRE.1997.624589