Paper Info
Title
Mosto: generating SPARQL executable mappings between ontologies
Abstract
Data translation is an integration task that aims at populating a target model with data of a source model, which is usually performed by means of mappings. To reduce costs, there are some techniques to automatically generate executable mappings in a given query language, which are executed using a query engine to perform the data translation task. Unfortunately, current approaches to automatically generate executable mappings are based on nested relational models, which cannot be straightforwardly applied to semantic-web ontologies due to some differences between both models. In this paper, we present Mosto, a tool to perform the data translation using automatically generated SPARQL executable mappings. In this demo, ER attendees will have an opportunity to test this automatic generation when performing the data translation task between two different versions of the DBpedia ontology.
Year
DOI
Venue
2011
10.1007/978-3-642-24574-9_47
ER Workshops
Keywords
Field
DocType
source model,integration task,query language,data translation,sparql executable mapping,target model,query engine,nested relational model,data translation task,executable mapping,ontologies,semantic web,information integration
Ontology (information science),Information integration,Ontology,Query language,Programming language,Information retrieval,Computer science,Semantic Web,SPARQL,Data translation,Database,Executable
Conference
Volume
ISSN
Citations 
6999
0302-9743
3
PageRank 
References 
Authors
0.39
11
4
Name
Order
Citations
PageRank
Carlos R. Rivero111116.25
Inma Hernández27610.72
David Ruiz315220.62
Rafael Corchuelo438949.87