Title
Generating SPARQL executable mappings to integrate ontologies
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.
Year
DOI
Venue
2011
10.1007/978-3-642-24606-7_10
ER
Keywords
Field
DocType
matching technique,language-independent executable mapping,data translation,sparql executable mapping,current technique,target model,generating sparql executable mapping,nested relational model,data translation task,executable mapping,instance example
Ontology (information science),Information integration,ENCODE,Data mining,Query language,Programming language,Computer science,SPARQL,Source model,Data translation,Database,Executable
Conference
Volume
ISSN
Citations 
6998
0302-9743
16
PageRank 
References 
Authors
0.78
40
4
Name
Order
Citations
PageRank
Carlos R. Rivero111116.25
Inma Hernández27610.72
David Ruiz315220.62
Rafael Corchuelo438949.87