In this paper, we introduce the General Semistructured Meta-Model (GSMM), a simple meta-model for semistructured information which can be applied for the translation to a common formalism of the various abstract models proposed in literature; this approach fosters easy a priori comparison and discussion of concrete models’ features, such as allowed sets of values, handling of object identifiers, relationships representation; moreover, it supports effective inter-model translation and design.
Titolo: | Modeling Semistructured Data by using graph-based constraints | |
Autori: | ||
Data di pubblicazione: | 2003 | |
Abstract: | In this paper, we introduce the General Semistructured Meta-Model (GSMM), a simple meta-model for semistructured information which can be applied for the translation to a common formalism of the various abstract models proposed in literature; this approach fosters easy a priori comparison and discussion of concrete models’ features, such as allowed sets of values, handling of object identifiers, relationships representation; moreover, it supports effective inter-model translation and design. | |
Handle: | http://hdl.handle.net/11562/20025 | |
Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.