The DOI matches its Crossref record.
Knowledge Provenance
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Little work has been done towards Knowledge Provenance, and it mostly focuses on providing a taxonomy of four levels of provenance based on the certainty degree of each assertion.
“Little work has been done towards this end, and it mostly focuses on providing a taxonomy of four levels of provenance based on the certainty degree of each assertion [30].”
From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [30]
Knowledge Provenance has been proposed to annotate the reliability of information extracted from web sources based on who created the assertion, how much the creator can be trusted, and what the information depends on.
“Knowledge Provenance (KP) has been proposed to create an approach to annotate the reliability of information extracted from web sources based on who created the assertion, how much the creator can be trusted, and what the information depends on.”
From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [30]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 4
- Blaze, M., Feigenbaum, J., Lacy, J.: Decentralized Trust Management. In: Proceedings of IEEE Conference on Security and Privacy (May 1996)
- Golbeck, J., Hendler, J., Parsia, B.: Trust Networks on the Semantic Web, Research report of University of Maryland, College Park (2002) · DOI
- Huang, J., Fox, M.S. (2003B), An Uncertainty-oriented Knowledge Provenance Model, EIL Technical Report, University of Toronto · DOI · Paper page
- Khare, R., Rifkin, A.: Weaving and Web of Trust. World Wide Web Journal 2(3), 77–112 (1997)
Cited by
Sorted by citations
Menotti, L., Marchesin, S., Giachelle, F., & Silvello, G. (2025) · International Journal on Digital Libraries · doi:10.1007/s00799-025-00431-x · Cited by 5
Metadata
- Authors
- Fox, M. S., & Huang, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 517-523
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 3
- References
- 0
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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