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Provenance-Aware Knowledge Representation: A Survey of Data Models and Contextualized Knowledge Graphs
2020
Data Science and Engineering
Expressing machine-interpretable statements in the form of subject-predicate-object triples is a well-established practice for capturing semantics of structured data. However, the standard used for representing these triples, RDF, inherently lacks the mechanism to attach provenance data, which would be crucial to make automatically generated and/or processed data authoritative. This paper is a critical review of data models, annotation frameworks, knowledge organization systems, serialization
doi:10.1007/s41019-020-00118-0
fatcat:gzavypx5ejeufjmjmc3yhwcdzy