Generating SPARQL executable mappings to integrate ontologies

  • Authors:

  • Carlos R. Rivero;Inma Hernández;David Ruiz;Rafael Corchuelo

  • Affiliations:

  • University of Sevilla, Spain;University of Sevilla, Spain;University of Sevilla, Spain;University of Sevilla, Spain

  • Venue:
  • ER'11 Proceedings of the 30th international conference on Conceptual modeling
  • Year:
  • 2011

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Abstract

Data translation is an integration task that aims at populating a target model with data of a source model by means of mappings. Generating them automatically is appealing insofar it may reduce integration costs. Matching techniques automatically generate uninterpreted mappings, a.k.a. correspondences, that must be interpreted to perform the data translation task. Other techniques automatically generate executable mappings, which encode an interpretation of these correspondences in a given query language. Unfortunately, current techniques to automatically generate executable mappings are based on instance examples of the target model, which usually contains no data, or based on nested relational models, which cannot be straightforwardly applied to semantic-web ontologies. In this paper, we present a technique to automatically generate SPARQL executable mappings between OWL ontologies. The original contributions of our technique are as follows: 1) it is not based on instance examples but on restrictions and correspondences, 2) we have devised an algorithm to make restrictions and correspondences explicit over a number of language-independent executable mappings, and 3) we have devised an algorithm to transform language-independent into SPARQL executable mappings. Finally, we evaluate our technique over ten scenarios and check that the interpretation of correspondences that it assumes is coherent with the expected results.