Knowledge Graph Provenance is the systematic representation of the origin, derivation history, and transformation processes of entities and relationships within a knowledge graph, distinguishing it from general metadata by explicitly capturing causal and temporal dependencies among graph elements.
15
Publications
435
Citations
55
Authors
32
Institutions
Publications per year
2017–2026
13
Parents
Publications
15
Logic on MARS: Ontologies for Generalised Property Graphs
Maximilian Marx, Markus Krötzsch, Veronika Thost · 2017 · 32 citations · Full text
1–5 of 15
Authors
55
- KF
3
h-index
- JB
3
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- SM
3
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- JA
3
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- MK
3
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1–5 of 55
Institutions
32
Turing Institute
Glasgow, United Kingdom
3 h-index
3 publications
123 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
3 publications
123 citations
CMCL Innovations (United Kingdom)
Cambridge, United Kingdom
3 h-index
3 publications
123 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
19 publications
795 citations
The Cambridge Centre for Advanced Research and Education in Singapore
Singapore, Singapore
3 h-index
18 publications
717 citations
The Alan Turing Institute
London, United Kingdom
2 h-index
2 publications
45 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
6 publications
398 citations
University of Bonn
Bonn, Germany
1 h-index
4 publications
56 citations
1–8 of 32
Venues
- World Wide Web
1 publications · 31 citations
1
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- Journal on Computing and Cultural Heritage
JOCCH · 1 publications · 15 citations
1
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- Semantic Web
1 publications · 11 citations
1
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- Digital Discovery
1 publications · 18 citations
1
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- Database
1 publications · 14 citations
1
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1–5