The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ontology Learning for the Semantic Web
Overview
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Integrity signals
Registry
Cites
Statistics
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Claims the paper makes
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Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
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Citations
Cites
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
Cited by
A Survey on the Explainability of Supervised Machine Learning
Burkart, N., & Huber, M. F. (2021) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12228 · Cited by 1,008
Knowledge graph refinement: A survey of approaches and evaluation methods
Paulheim, H. (2016) · Semantic Web · doi:10.3233/sw-160218 · Cited by 849
Ontologies and the semantic web
Horrocks, I. (2008) · Communications of the ACM · doi:10.1145/1409360.1409377 · Cited by 639
AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions
Sarker, I. H., Furhad, M. H., & Nowrozy, R. (2021) · SN Computer Science · doi:10.1007/s42979-021-00557-0 · Cited by 543
Ontology Matching: A Machine Learning Approach
Doan, A., Madhavan, J., Domingos, P., & Halevy, A. (2004) · Handbook on Ontologies · doi:10.1007/978-3-540-24750-0_19 · Cited by 477
Metadata
- Authors
- Maedche, A.
- Venue
- The Kluwer International Series in Engineering and Computer Science
- Publisher
- Springer US
- Published
- 2002
- ISSN
- 0893-3405 (ISSN-L)
- OpenAlex
- W2132232128
- Cited by
- 1,668
- References
- 1
- FWCI
- 19.32
- Type
- book
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ontology Learning for the Semantic Web. https://app.cochat.ai/papers/10.1007/978-1-4615-0925-7
- The paper
- Maedche, A. (2002). Ontology Learning for the Semantic Web. The Kluwer International Series in Engineering and Computer Science. https://doi.org/10.1007/978-1-4615-0925-7
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.
