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The PROV-K Ontology for tracking provenance of multi-sourced assertions
Abstract
This dataset was developed in the HEREDITARY project as a research prototype. It has not been assessed or certified under the EU Medical Device Regulation (EU) 2017/745. It must not be used to diagnose, treat, monitor or make any other decision about individual patients. The PROV-K ontology integrates the PROV Ontology (PROV-O) to represent provenance information of assertions derived from multiple sources using an aggregation algorithm. The PROV-K ontology represents conflicting and supporting evidence, the reliability of an assertion assigned by its creator or external agents, and trust relationships between agents or between an agent and an assertion. The complete documentation is available at: https://prov-k.dei.unipd.it/ontology/ . Contact for misuse or vulnerability reports. Laura Menotti, laura.menotti@unipd.it
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The PROV-K ontology is available in Zenodo and its complete documentation is available at https://prov-k.dei.unipd.it/ontology/.
“The PROV-K ontology is available in Zenodo [14], and its complete documentation is available at: https://prov-k.dei.unipd.it/ontology/.”
From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [14]
The PROV-K ontology is an extension of PROV-O to represent provenance information of assertions derived from multiple sources using an aggregation algorithm.
“To this end, we define the PROV-K ontology [14], an extension of PROV-O to represent provenance information of assertions derived from multiple sources using an aggregation algorithm.”
From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [14]
The PROV-K ontology is published in Zenodo [14] and its documentation is available at the given URL.
“The PROV-K ontology is published in Zenodo [14] and the ontology documentation is available at: https://prov-k.dei. unipd.it/ontology/.”
From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [14]
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Menotti, L., Marchesin, S., Giachelle, F., & Silvello, G. (2025) · International Journal on Digital Libraries · doi:10.1007/s00799-025-00431-x · Cited by 5
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Metadata
- Authors
- Menotti, L., MARCHESIN, S., & Silvello, G.
- Affiliations
- University of Padua
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2025-04-10
- References
- 0
- Funders
- European Commission (101137074)
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