Towards Semi-automatic Generation of R2R Mappings

Valéria M. Pequeno, Vânia M. P. Vidal, Tiago Vinuto

2018

Abstract

Translating data from linked data sources to the vocabulary that is expected by a linked data application requires a large number of mappings and can require a lot of structural transformations as well as complex property value transformations. The R2R mapping language is a language based on SPARQL for publishing expressive mappings on the web. However, the specification of R2R mappings is not an easy task. This paper therefore proposes the use of mapping patterns to semi-automatically generate R2R mappings between RDF vocabularies. In this paper, we first specify a mapping language with a high level of abstraction to transform data from a source ontology to a target ontology vocabulary. Second, we introduce the proposed mapping patterns. Finally, we present a method to semi-automatically generate R2R mappings using the mapping patterns.

Paper Citation

in Harvard Style

Pequeno V., Vidal V. and Vinuto T. (2018). Towards Semi-automatic Generation of R2R Mappings.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 237-244. DOI: 10.5220/0006801602370244

in Bibtex Style

@conference{iceis18,
author={Valéria M. Pequeno and Vânia M. P. Vidal and Tiago Vinuto},
title={Towards Semi-automatic Generation of R2R Mappings},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006801602370244},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards Semi-automatic Generation of R2R Mappings
SN - 978-989-758-298-1
AU - Pequeno V.
AU - Vidal V.
AU - Vinuto T.
PY - 2018
SP - 237
EP - 244
DO - 10.5220/0006801602370244