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Ruben Verborgh

A Model of Provenance Applied to Biodiversity Datasets

by Flor Karina Amanqui, Tom De Nies, Anastasia Dimou, Ruben Verborgh, Erik Mannens, Rik Van de Walle, and Dilvan Moreira

Nowadays, the Web has become one of the main sources of biodiversity information. An increasing number of biodiversity research institutions add new specimens and their related information to their biological collections and make this information available on the Web. However, mechanisms which are currently available provide insufficient provenance of biodiversity information. In this paper, we propose a new biodiversity provenance model extending the W3C PROV Data Model. Biodiversity data is mapped to terms from relevant ontologies, such as Dublin Core and GeoSPARQL, stored in triple stores and queried using SPARQL endpoints. Additionally, we provide a use case using our provenance model to enrich collection data.

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Published in 2016 in Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises.

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Cite this article easily using its BibTeX entry:

@inproceedings{amanqui_wetice_2016,
  author = {Amanqui, Flor Karina and De Nies, Tom and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik and Van de Walle, Rik and Moreira, Dilvan},
  title = {A Model of Provenance Applied to Biodiversity Datasets},
  booktitle = {Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises},
  editor = {Reddy, Sumitra and Gaaloul, Walid},
  year = 2016,
  month = jun,
}

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IEEE
F. K. Amanqui, T. De Nies, A. Dimou, R. Verborgh, E. Mannens, R. Van de Walle, and D. Moreira, “A Model of Provenance Applied to Biodiversity Datasets,” in Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2016.
ACM
Flor Karina Amanqui et al. 2016. A Model of Provenance Applied to Biodiversity Datasets. In Sumitra Reddy & Walid Gaaloul, eds. Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises.
LNCS
Amanqui, F.K., De Nies, T., Dimou, A., Verborgh, R., Mannens, E., Van de Walle, R., Moreira, D.: A Model of Provenance Applied to Biodiversity Datasets. In: Reddy, S. and Gaaloul, W. (eds.) Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (2016).
APA
Amanqui, F. K., De Nies, T., Dimou, A., Verborgh, R., Mannens, E., Van de Walle, R., & Moreira, D. (2016). A Model of Provenance Applied to Biodiversity Datasets. In S. Reddy & W. Gaaloul (Eds.), Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises.
MLA
Amanqui, Flor Karina et al. “A Model of Provenance Applied to Biodiversity Datasets.” Proceedings of the 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises. Ed. Sumitra Reddy and Walid Gaaloul. 2016. Print.

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