Declarative data transformations for linked data generation : the case of DBpedia
- Author
- Ben De Meester (UGent) , Wouter Maroy, Anastasia Dimou (UGent) , Ruben Verborgh (UGent) and Erik Mannens (UGent)
- Organization
- Abstract
- Mapping languages allow us to define how Linked Data is generated from raw data, but only if the raw data values can be used as is to form the desired Linked Data. Since complex data transformations remain out of scope for mapping languages, these steps are often implemented as custom solutions, or with systems separate from the mapping process. The former data transformations remain case-specific, often coupled with the mapping, whereas the latter are not reusable across systems. In this paper, we propose an approach where data transformations (i) are defined declaratively and (ii) are aligned with the mapping languages. We employ an alignment of data transformations described using the Function Ontology (FnO) and mapping of data to Linked Data described using the RDF Mapping Language (RML). We validate that our approach can map and transform DBpedia in a declaratively defined and aligned way. Our approach is not case-specific: data transformations are independent of their implementation and thus interoperable, while the functions are decoupled and reusable. This allows developers to improve the generation framework, whilst contributors can focus on the actual Linked Data, as there are no more dependencies, neither between the transformations and the generation framework nor their implementations.
- Keywords
- IBCN, Data transformations, FnO, Linked Data generation, RML, WEB
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8525863
- MLA
- De Meester, Ben, et al. “Declarative Data Transformations for Linked Data Generation : The Case of DBpedia.” SEMANTIC WEB, ESWC 2017, PT II, edited by Eva Blomqvist et al., vol. 10250, Springer, 2017, pp. 33–48, doi:10.1007/978-3-319-58451-5_3.
- APA
- De Meester, B., Maroy, W., Dimou, A., Verborgh, R., & Mannens, E. (2017). Declarative data transformations for linked data generation : the case of DBpedia. In E. Blomqvist, D. Maynard, A. Gangemi, R. Hoekstra, P. Hitzler, & O. Hartig (Eds.), SEMANTIC WEB, ESWC 2017, PT II (Vol. 10250, pp. 33–48). https://doi.org/10.1007/978-3-319-58451-5_3
- Chicago author-date
- De Meester, Ben, Wouter Maroy, Anastasia Dimou, Ruben Verborgh, and Erik Mannens. 2017. “Declarative Data Transformations for Linked Data Generation : The Case of DBpedia.” In SEMANTIC WEB, ESWC 2017, PT II, edited by Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, and Olaf Hartig, 10250:33–48. Springer. https://doi.org/10.1007/978-3-319-58451-5_3.
- Chicago author-date (all authors)
- De Meester, Ben, Wouter Maroy, Anastasia Dimou, Ruben Verborgh, and Erik Mannens. 2017. “Declarative Data Transformations for Linked Data Generation : The Case of DBpedia.” In SEMANTIC WEB, ESWC 2017, PT II, ed by. Eva Blomqvist, Diana Maynard, Aldo Gangemi, Rinke Hoekstra, Pascal Hitzler, and Olaf Hartig, 10250:33–48. Springer. doi:10.1007/978-3-319-58451-5_3.
- Vancouver
- 1.De Meester B, Maroy W, Dimou A, Verborgh R, Mannens E. Declarative data transformations for linked data generation : the case of DBpedia. In: Blomqvist E, Maynard D, Gangemi A, Hoekstra R, Hitzler P, Hartig O, editors. SEMANTIC WEB, ESWC 2017, PT II. Springer; 2017. p. 33–48.
- IEEE
- [1]B. De Meester, W. Maroy, A. Dimou, R. Verborgh, and E. Mannens, “Declarative data transformations for linked data generation : the case of DBpedia,” in SEMANTIC WEB, ESWC 2017, PT II, Portoroz, Slovenia, 2017, vol. 10250, pp. 33–48.
@inproceedings{8525863,
abstract = {{Mapping languages allow us to define how Linked Data is generated from raw data, but only if the raw data values can be used as is to form the desired Linked Data. Since complex data transformations remain out of scope for mapping languages, these steps are often implemented as custom solutions, or with systems separate from the mapping process. The former data transformations remain case-specific, often coupled with the mapping, whereas the latter are not reusable across systems. In this paper, we propose an approach where data transformations (i) are defined declaratively and (ii) are aligned with the mapping languages. We employ an alignment of data transformations described using the Function Ontology (FnO) and mapping of data to Linked Data described using the RDF Mapping Language (RML). We validate that our approach can map and transform DBpedia in a declaratively defined and aligned way. Our approach is not case-specific: data transformations are independent of their implementation and thus interoperable, while the functions are decoupled and reusable. This allows developers to improve the generation framework, whilst contributors can focus on the actual Linked Data, as there are no more dependencies, neither between the transformations and the generation framework nor their implementations.}},
author = {{De Meester, Ben and Maroy, Wouter and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik}},
booktitle = {{SEMANTIC WEB, ESWC 2017, PT II}},
editor = {{Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf}},
isbn = {{9783319584508}},
issn = {{0302-9743}},
keywords = {{IBCN,Data transformations,FnO,Linked Data generation,RML,WEB}},
language = {{eng}},
location = {{Portoroz, Slovenia}},
pages = {{33--48}},
publisher = {{Springer}},
title = {{Declarative data transformations for linked data generation : the case of DBpedia}},
url = {{http://dx.doi.org/10.1007/978-3-319-58451-5_3}},
volume = {{10250}},
year = {{2017}},
}
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