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A Model of Provenance Applied to Biodiversity Datasets

Authors :
Ruben Verborgh
Dilvan de Abreu Moreira
Erik Mannens
Rik Van de Walle
Anastasia Dimou
Tom De Nies
Flor K. Amanqui
Source :
WETICE, 2016 IEEE 25TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE)
Publication Year :
2016
Publisher :
IEEE, 2016.

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.

Details

ISBN :
978-1-5090-1663-1
ISBNs :
9781509016631
Database :
OpenAIRE
Journal :
2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
Accession number :
edsair.doi.dedup.....75ee5b117da5a448fa8e2aade330744b
Full Text :
https://doi.org/10.1109/wetice.2016.59