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A Model of Provenance Applied to Biodiversity Datasets
- 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.
- Subjects :
- Technology and Engineering
Geospatial analysis
Computer science
0211 other engineering and technologies
Biodiversity
02 engineering and technology
computer.file_format
Linked data
GeoSPARQL
computer.software_genre
Data science
GeneralLiterature_MISCELLANEOUS
Data modeling
World Wide Web
Data model
Linked Data
Provenance
0202 electrical engineering, electronic engineering, information engineering
SPARQL
020201 artificial intelligence & image processing
RDF
computer
021101 geological & geomatics engineering
Subjects
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