JOURNAL ARTICLE

Data Model Transformation for Supporting Interoperability

Abstract

One of the main barriers for interoperability today, is the proliferation of different standards and proprietary formats for the exchange of information among the organizations willing to interoperate. But how can the different standards and formats be reconciled? Traditionally, code based mapping techniques have been performed to reconcile standards and formats, but recently a new approach has appeared for dealing with this situation; it is known as model transformation. Model transformation techniques support the engineer in the definition of formal translation rules which allow communication between incompatible components. This paper presents two of these techniques, MTF (model transformation framework) and ATL (Atlas transformation language) and compares them with the traditional approach

Keywords:
Interoperability Model transformation Computer science Transformation (genetics) Data exchange Software engineering Data modeling Semantic interoperability Reference model Data science Programming language World Wide Web Artificial intelligence

Metrics

6
Cited By
2.37
FWCI (Field Weighted Citation Impact)
15
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Model-Driven Software Engineering Techniques
Physical Sciences →  Computer Science →  Software
Business Process Modeling and Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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