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Expressing factdag provenance with PROV-O

: Gleim, L.; Tirpitz, L.; Pennekamp, J.; Decker, S.

Fulltext ()

Orlandi, F.:
MEPDaW 2020, Managing the Evolution and Preservation of the Data Web. Online resource : Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual event (instead of Athens, Greece), November 1st, 2020
La Clusaz: CEUR, 2020 (CEUR Workshop Proceedings 2821)
ISSN: 1613-0073
URN: urn:nbn:de:0074-2821-0
Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) <6, 2020, Online>
Conference Paper, Electronic Publication
Fraunhofer FIT ()

To foster data sharing and reuse across organizational boundaries, provenance tracking is of vital importance for the establishment of trust and accountability, especially in industrial applications, but often neglected due to associated overhead. The abstract FactDAG data interoperability model strives to address this challenge by simplifying the creation of provenance-linked knowledge graphs of revisioned (and thus immutable) resources. However, to date, it lacks a practical provenance implementation. In this work, we present a concrete alignment of all roles and relations in the FactDAG model to the W3C PROV provenance standard, allowing future software implementations to directly produce standard-compliant provenance information. Maintaining compatibility with existing PROV tooling, an implementation of this mapping will pave the way for practical FactDAG implementations and deployments, improving trust and accountability for Open Data through simplified provenance management.