A model of provenance applied to biodiversity datasets
- Author
- Flor K Amanqui, Tom De Nies (UGent) , Anastasia Dimou (UGent) , Ruben Verborgh (UGent) , Erik Mannens (UGent) , Rik Van de Walle (UGent) and Dilvan Moreira
- Organization
- Abstract
- 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.
- Keywords
- Linked Data, Provenance, Biodiversity
Downloads
-
2016 - Flor Mamani Amanqui et al. - A Model of Provenance Applied to Biodiversity Datasets.pdf
- full text
- |
- open access
- |
- |
- 603.03 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8504162
- MLA
- Amanqui, Flor K., et al. “A Model of Provenance Applied to Biodiversity Datasets.” 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), Ieee, 2016, pp. 235–40, doi:10.1109/WETICE.2016.59.
- 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. 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 235–240. https://doi.org/10.1109/WETICE.2016.59
- Chicago author-date
- Amanqui, Flor K, Tom De Nies, Anastasia Dimou, Ruben Verborgh, Erik Mannens, Rik Van de Walle, and Dilvan Moreira. 2016. “A Model of Provenance Applied to Biodiversity Datasets.” In 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 235–40. New york: Ieee. https://doi.org/10.1109/WETICE.2016.59.
- Chicago author-date (all authors)
- Amanqui, Flor K, Tom De Nies, Anastasia Dimou, Ruben Verborgh, Erik Mannens, Rik Van de Walle, and Dilvan Moreira. 2016. “A Model of Provenance Applied to Biodiversity Datasets.” In 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 235–240. New york: Ieee. doi:10.1109/WETICE.2016.59.
- Vancouver
- 1.Amanqui FK, De Nies T, Dimou A, Verborgh R, Mannens E, Van de Walle R, et al. A model of provenance applied to biodiversity datasets. In: 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE). New york: Ieee; 2016. p. 235–40.
- IEEE
- [1]F. K. Amanqui et al., “A model of provenance applied to biodiversity datasets,” in 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), Paris, FRANCE, 2016, pp. 235–240.
@inproceedings{8504162, abstract = {{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.}}, author = {{Amanqui, Flor K and De Nies, Tom and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik and Van de Walle, Rik and Moreira, Dilvan}}, booktitle = {{2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE)}}, isbn = {{978-1-5090-1663-1}}, keywords = {{Linked Data,Provenance,Biodiversity}}, language = {{eng}}, location = {{Paris, FRANCE}}, pages = {{235--240}}, publisher = {{Ieee}}, title = {{A model of provenance applied to biodiversity datasets}}, url = {{http://doi.org/10.1109/WETICE.2016.59}}, year = {{2016}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: