The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Knowledge graphs
Abstract
Tracking the historical events that lead to the interweaving of data and knowledge.
Overview
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Many comprehensive survey papers exist for knowledge graphs generally and for domain-specific knowledge graphs such as smart grids, industrial products, manufacturing and production, biomedical domain, and recommendation engines.
“In the literature, many comprehensive survey papers for knowledge graph [1], domain-specific knowledge graphs such as smart grids [2], industrial products [3], manufacturing and production [4] biomedical domain [5] and knowledge graphs with recommendation engines [6] exist”
From Scholarly knowledge graphs through structuring scholarly communication: a review (2023) · cites this paper as [1]
No survey paper focuses on the concept of knowledge graphs in the scholarly domain.
“In the literature, many comprehensive survey papers for knowledge graph [1], domain-specific knowledge graphs such as smart grids [2], industrial products [3], manufacturing and production [4] biomedical domain [5] and knowledge graphs with recommendation engines [6] exist, whereas no survey paper focuses on concept of knowledge graphs in scholarly domain.”
From Scholarly knowledge graphs through structuring scholarly communication: a review (2023) · cites this paper as [1]
The citation [1] appears beside the sentence’s discussion of general knowledge-graph surveys, not beside its assertion that no survey covers the scholarly domain. The retrieved passages from the Supplemental Material for Knowledge Graphs Introduction list related works but do not assess whether a scholarly-domain survey exists (searched: scholarly domain, survey paper, scientific literature). (LLM, conf=0.72)
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Citations
Cites
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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
The entity-relationship model—toward a unified view of data
Chen, P. P.-S. (1976) · ACM Transactions on Database Systems · doi:10.1145/320434.320440 · Cited by 4,708
Flagged first, then by citations
Research works printed but not linked: 36
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Cited by
Sorted by citations
Scholarly knowledge graphs through structuring scholarly communication: a review
Verma, S., Bhatia, R., Harit, S., & Batish, S. (2023) · Complex & Intelligent Systems · doi:10.1007/s40747-022-00806-6 · Cited by 78
Ontologies and Knowledge Graphs in Oncology Research
Silva, M. C., Eugénio, P., Faria, D., & Pesquita, C. (2022) · Cancers · doi:10.3390/cancers14081906 · Cited by 46
Knowledge graphs: Introduction, history, and perspectives
Chaudhri, V. K., Baru, C., Chittar, N., Dong, X. L., Genesereth, M., Hendler, J., Kalyanpur, A., Lenat, D. B., Sequeda, J., Vrandečić, D., et al. (2022) · AI Magazine · doi:10.1002/aaai.12033 · Cited by 71
Self-citationNedisan Videsjorden, A., Song, H., Goknil, A., Roman, D., & Soylu, A. (2026) · ACM Transactions on Internet of Things · doi:10.1145/3772077 · Cited by 5
Metadata
- Authors
- Gutierrez, C., & Sequeda, J. F.
- Venue
- Communications of the ACM
- Published
- 2021-02-22
- Volume
- 64
- Issue
- 3
- Pages
- 96-104
- ISSN
- 0001-0782
- 1557-7317
- Cited by
- 148
- References
- 3
- Language
- en
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.
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