The DOI matches its Crossref record; 54 of the 55 references it cites were found in a registry or an index.
Introduction: What Is a Knowledge Graph?
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Cites
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Cited by
Biological network analysis with deep learning
Muzio, G., O’Bray, L., & Borgwardt, K. M. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa257 · Cited by 282
Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
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Hassani‐Pak, K., Singh, A., Brandizi, M., Hearnshaw, J., Parsons, J. D., Amberkar, S., Phillips, A. L., Doonan, J. H., & Rawlings, C. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13583 · Cited by 129
Knowledge graph embedding by relational rotation and complex convolution for link prediction
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Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
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Metadata
- Authors
- Fensel, D., Şimşek, U., Angele, K., Huaman, E., Kärle, E., Panasiuk, O., Toma, I., Umbrich, J., & Wahler, A.
- Affiliations
- Universität Innsbruck (AT)
- Venue
- Knowledge Graphs
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 1-10
- OpenAlex
- W3004035003
- Cited by
- 244
- References
- 55
- Citations by year
- 2026: 20 · 2025: 53 · 2024: 73 · 2023: 52 · 2022: 27 · 2021: 15 · 2020: 3
- FWCI
- 39.26
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Graph Neural Networks
- Physical Sciences › Computer Science › Information Systems › Data Quality and Management
- Keywords
- knowledge graphs, data integration, conceptual definitions, Google Knowledge Graph
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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.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.