In MDE resolving pragmatic issues related to the management of models is key to success. Model comparison is one of the most challenging operations playing a central role in a wide range of modelling activities including model versioning, evolution and even collaborative and distributed specification of models. Over the last decade, several syntactic methods have been proposed to compare models even though they struggle in achieving higher levels of accuracy especially when the semantics of the application domain has to be considered. Existing methods improve comparison precision at the price of high performance costs. This paper discusses a lightweight semantic comparison method, which relies on a new matching algorithm that considers ontological information encoded in the WordNet lexical database further than ordinary syntactical and structural correlations. The approach has been implemented as extension of EMFCompare and evaluated to measure its precision and performances when compared to existing approaches.

Semantic-based model matching with EMFcompare

Iovino Ludovico;
2016

Abstract

In MDE resolving pragmatic issues related to the management of models is key to success. Model comparison is one of the most challenging operations playing a central role in a wide range of modelling activities including model versioning, evolution and even collaborative and distributed specification of models. Over the last decade, several syntactic methods have been proposed to compare models even though they struggle in achieving higher levels of accuracy especially when the semantics of the application domain has to be considered. Existing methods improve comparison precision at the price of high performance costs. This paper discusses a lightweight semantic comparison method, which relies on a new matching algorithm that considers ontological information encoded in the WordNet lexical database further than ordinary syntactical and structural correlations. The approach has been implemented as extension of EMFCompare and evaluated to measure its precision and performances when compared to existing approaches.
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.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12571/7251
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? ND
social impact