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Ruben Verborgh

Declarative Data Transformations for Linked Data Generation: The Case of DBpedia

Ben De Meester, Wouter Maroy, Anastasia Dimou, Ruben Verborgh, and Erik Mannens

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 a methodology 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.

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Published in 2017 in Proceedings of the 14th ESWC.

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Cite this article easily using its BibTeX entry: 

@inproceedings{demeester_eswc_2017,
  author = {De Meester, Ben and Maroy, Wouter and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik},
  title = {Declarative Data Transformations for {Linked Data} Generation: The Case of {DBpedia}},
  booktitle = {Proceedings of the 14th ESWC},
  year = 2017,
  month = may,
  series = {Lecture Notes in Computer Science},
  volume = 10250,
  editor = {Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf},
  publisher = {Springer},
  pages = {33--48},
  isbn = {978-3-319-58451-5},
  doi = {10.1007/978-3-319-58451-5_3},
}

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ACM
Ben De Meester, Wouter Maroy, Anastasia Dimou, Ruben Verborgh, and Erik Mannens. 2017. Declarative Data Transformations for Linked Data Generation: The Case of DBpedia. In Proceedings of the 14th ESWC (Lecture Notes in Computer Science), Springer, 33–48.
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.), Proceedings of the 14th ESWC (Vol. 10250, pp. 33–48). Springer.
IEEE
B. De Meester, W. Maroy, A. Dimou, R. Verborgh, and E. Mannens, “Declarative Data Transformations for Linked Data Generation: The Case of DBpedia,” in Proceedings of the 14th ESWC, 2017, vol. 10250, pp. 33–48.
LNCS
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., and Hartig, O. (eds.) Proceedings of the 14th ESWC. pp. 33–48. Springer (2017).
MLA
De Meester, Ben, et al. “Declarative Data Transformations for Linked Data Generation: The Case of DBpedia.” Proceedings of the 14th ESWC, edited by Eva Blomqvist et al., vol. 10250, Springer, 2017, pp. 33–48.

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