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?
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
Freebase: a collaboratively created graph database for structuring human knowledge
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., & Taylor, J. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data · doi:10.1145/1376616.1376746 · Cited by 4,852
A relational model of data for large shared data banks
Codd, E. F. (1983) · Communications of the ACM · doi:10.1145/357980.358007 · Cited by 4,796
Wikidata: a free collaborative knowledgebase
Vrandečić, D., & Krötzsch, M. (2014) · Communications of the ACM · doi:10.1145/2629489 · Cited by 3,342
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P. N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., et al. (2015) · Semantic Web · doi:10.3233/sw-140134 · Cited by 3,168
Newell, A. (1982) · Artificial Intelligence · doi:10.1016/0004-3702(82)90012-1 · Cited by 2,589
Yago: a core of semantic knowledge
Suchanek, F. M., Kasneci, G., & Weikum, G. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242667 · Cited by 2,512
DBpedia: A Nucleus for a Web of Open Data
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-76298-0_52 · Cited by 2,454
Toward an architecture for never-ending language learning
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E., & Mitchell, T. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i1.7519 · Cited by 2,000
CYC: a large-scale investment in knowledge infrastructure
Lenat, D. B. (1995) · Communications of the ACM · doi:10.1145/219717.219745 · Cited by 1,969
Research works printed but not linked: 7
- D. Fensel, M. Erdmann, R. Studer, Ontology groups: semantically enriched subnets of the WWW, in Proceedings of the 1st International Workshop Intelligent Information Integration During the 21st German Annual Conference on Artificial Intelligence, Freiburg, Germany, September 1997
- I.J. Goodfellow, Y. Bengio, A.C. Courville, Deep Learning. Adaptive Computation and Machine Learning (MIT Press, Cambridge, 2016)
- G.W.F. Hegel, Science of Logic, vol. I, Section 3, Chapter 1, A. The Specific Quantum (Translated by A.V. Miller). Atlantic Highlands: Humanities Paperback Library, Originally appeared (1812)
- F. Mahdisoltani, J. Biega, F.M. Suchanek, YAGO3: a knowledge base from multilingual Wikipedias, in Proceedings of Seventh Biennial Conference on Innovative Data Systems Research (CIDR2015), Online Proceedings, Asilomar, CA, 4–7 January 2015. www.cidrdb.org
- J. Z. Pan, G. Vetere, J. M. Gómez-Pérez, H. Wu (eds.), Exploiting Linked Data and Knowledge Graphs in Large Organisations (Springer, Cham, 2017b)
- G. Qi, J. Tang, J. Du, J.Z. Pan, Y. Yu (eds.), Linked Data and Knowledge Graph—7th Chinese Semantic Web Symposium and 2nd Chinese Web Science Conference (CSWS2013): Revised Selected Papers, Shanghai, China, 12–16 August 2013. Springer CCIS, vol. 406
- G. Qi, H. Chen, K. Liu, H. Wang, Q. Ji, T. Wu, Knowledge Graph (Springer, Cham, 2020)
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
Wan, Y., Liu, Y., Chen, Z., Chen, C., Li, X., Hu, F., & Packianather, M. (2024) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2024.07.009 · Cited by 131
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
Le, T., Le, N., & Le, B. H. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119122 · Cited by 105
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
Abu-Rasheed, H., Weber, C., & Fathi, M. (2024) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon60312.2024.10578654 · Cited by 89
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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Data sources
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.
