Automatic generation of model translations

Paolo Papotti, Riccardo Torlone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


The translation of information between heterogeneous representations is a long standing issue. With the large spreading of cooperative applications fostered by the advent of the Internet the problem has gained more and more attention but there are still few and partial solutions. In general, given an information source, different translations can be defined for the same target model. In this work, we first identify general properties that "good" translations should fulfill. We then propose novel techniques for the automatic generation of model translations. A translation is obtained by combining a set of basic transformations and the above properties are verified locally (at the transformation level) and globally (at the translation level) without resorting to an exhaustive search. These techniques have been implemented in a tool for the management of heterogeneous data models and some experimental results support the effectiveness and the efficiency of the approach.

Original languageEnglish (US)
Title of host publicationAdvanced Information Systems Engineering - 19th International Conference, CAiSE 2007, Proceedings
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783540729877
StatePublished - 2007
Externally publishedYes
Event19th International Conference on Advanced Information Systems Engineering, CAiSE 2007 - Trondheim, Norway
Duration: Jun 11 2007Jun 15 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4495 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other19th International Conference on Advanced Information Systems Engineering, CAiSE 2007

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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